20211208_Estudo_Fundamentos_MGLU3_.ipynb

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      "source": [
        "##Análise Magazine Luiza\n",
        "\n",
        "1 - Verificar os preços das ações\n",
        "\n",
        "2 - Análise Cenário Macro:\n",
        "- IPCA\n",
        "- Cesta básica\n",
        "- Juros\n",
        "- Vendas no Varejo\n",
        "\n",
        "3 - Análise de Fundamentos\n",
        "\n",
        "- Receita bruta\n",
        "- Lojas, 1P e 3P\n",
        "- Margem Bruta\n",
        "- Margem Ebtida\n",
        "- Estoques\n",
        "- Capital de giro e liquidez\n"
      ],
      "metadata": {
        "id": "ET99iPfV6wgQ"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "##1 - Instalando Bibliotecas"
      ],
      "metadata": {
        "id": "JNvzZF0E6-sX"
      }
    },
    {
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            "Installing collected packages: inflection, quandl\n",
            "Successfully installed inflection-0.5.1 quandl-3.7.0\n",
            "Collecting investpy\n",
            "  Downloading investpy-1.0.7.tar.gz (4.4 MB)\n",
            "\u001b[K     |████████████████████████████████| 4.4 MB 5.4 MB/s \n",
            "\u001b[?25hCollecting Unidecode>=1.1.1\n",
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            "Building wheels for collected packages: investpy\n",
            "  Building wheel for investpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for investpy: filename=investpy-1.0.7-py3-none-any.whl size=4495221 sha256=5b999c76d6a0bc79975aec68fb91f963bc3d7fe555ccd7b35fa7f90869f3db8e\n",
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            "    Found existing installation: pytz 2018.9\n",
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            "Requirement already satisfied: plotly in /usr/local/lib/python3.7/dist-packages (4.4.1)\n",
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      ],
      "source": [
        "\n",
        "!pip install quandl\n",
        "!pip install investpy\n",
        "!pip install plotly\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Importando quandl\n",
        "#Caso ainda não tenha faça sua conta e solicite sua chave de API em https://data.nasdaq.com/\n",
        "\n",
        "import quandl\n",
        "quandl.ApiConfig.api_key = \"4NFLzs3fgqxKii3JHsN-dX\"\n",
        "import investpy"
      ],
      "metadata": {
        "id": "H6nF2vM-7j3n",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 367
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        "outputId": "89d7b66e-c520-4536-b6d0-c69dc4732ff4"
      },
      "execution_count": 1,
      "outputs": [
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            "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
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            "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'quandl'",
            "",
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0;32m\nNOTE: If your import is failing due to a missing package, you can\nmanually install dependencies using either !pip or !apt.\n\nTo view examples of installing some common dependencies, click the\n\"Open Examples\" button below.\n\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n"
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    },
    {
      "cell_type": "code",
      "source": [
        "import investpy\n",
        "import plotly.graph_objects as go\n",
        "import plotly.subplots\n",
        "import pandas as pd\n",
        "import io"
      ],
      "metadata": {
        "id": "jQNqxiIo8GAr"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "##2. Coletando dados Macroeconômicos"
      ],
      "metadata": {
        "id": "kgiiosrR7tlE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#aqui nosso objetivo é entender o comportamento dos indicadores macroeconomicos que segundo o board da companhia, prejudicaram o resultado de MGLU3 no 3° Tri\n",
        "\n",
        "#SELIC \n",
        "'Interest rate, Selic accumulated in the month in annual terms (basis 252)'\n",
        "selic = quandl.get('BCB/4189', start_date= '2018-01-01')\n",
        "\n",
        "#IPCA \n",
        "'Índice nacional de preços ao consumidor-amplo (IPCA) em 12 meses'\n",
        "ipca = quandl.get('BCB/13522', start_date = '2018-01-01')\n",
        "\n",
        "#CESTA BASICA SP\n",
        "'Cesta básica são paulo'\n",
        "cesta_basica = quandl.get('BCB/7493', start_date='2018-01-01')\n"
      ],
      "metadata": {
        "id": "gicc4UI67we9"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#1° Gráfico comportametno da Selic\n",
        "\n",
        "fig = go.Figure()\n",
        "fig.add_trace(go.Scatter(x=selic.index, y=selic['Value']))\n",
        "fig.update_layout(title_text= 'Selic Anual')\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "ODWhwCte700h",
        "outputId": "023089d3-4647-4dbc-9822-fc240b9eee87"
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      "execution_count": 5,
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#2° Gráfico IPCA 12 meses\n",
        "\n",
        "fig = go.Figure()\n",
        "fig.add_trace(go.Scatter(x=ipca.index, y=ipca['Value']))\n",
        "fig.update_layout(title_text='IPCA 12 meses')\n",
        "fig.show()"
      ],
      "metadata": {
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          "height": 542
        },
        "id": "2X9nmufO8KmT",
        "outputId": "eebd2bc4-be52-4c6b-8ea7-e57a5cbaccbf"
      },
      "execution_count": 6,
      "outputs": [
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              "\n",
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              "        </div>\n",
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          "metadata": {}
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Valor Cesta básica São Paulo\n",
        "\n",
        "fig = go.Figure()\n",
        "fig.add_trace(go.Scatter(x=cesta_basica.index, y=cesta_basica['Value']))\n",
        "fig.update_layout(title_text= 'Cesta Basica SP')\n",
        "fig.show()"
      ],
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          "height": 542
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        "id": "QtO1SNP28PVT",
        "outputId": "093b254f-6885-481f-8364-278f63262f62"
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    {
      "cell_type": "code",
      "source": [
        "#Varejo na PMC do Ibge recuou 4,1% em agosto, 1,1% setembro, 0,1% outubro\n",
        "\n",
        "varejo = quandl.get('BCB/1455', start_date='2018-01-01')\n",
        "\n",
        "fig = go.Figure()\n",
        "fig.add_trace(go.Scatter(x=varejo.index, y=varejo['Value']))\n",
        "fig.update_layout(title_text= 'Vendas Varejo IBGE')\n",
        "fig.show()"
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          "metadata": {}
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      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##3. Coletar os preços de MGLU "
      ],
      "metadata": {
        "id": "V1yKZ2siBpxb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Coletando Preços\n",
        "\n",
        "mglu = investpy.get_stock_historical_data('MGLU3', country='Brazil', from_date='01/01/2018', to_date='08/12/2021')"
      ],
      "metadata": {
        "id": "zazZjv2h9fOA"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Gráfico que responde a pergunta: como os preços das ações estão respondendo ao IPCA\n",
        "\n",
        "#Comportamento preços vs IPCA\n",
        "\n",
        "from plotly.subplots import make_subplots\n",
        "\n",
        "fig = make_subplots(specs=[[{\"secondary_y\": True}]])\n",
        "fig.add_trace(go.Scatter(x=ipca.index, y=ipca['Value'], name='IPCA'), secondary_y=False)\n",
        "fig.add_trace(go.Scatter(x=mglu.index, y=mglu['Close'], name='MagaluPreço'),secondary_y=True)\n",
        "fig.update_layout(title_text='Preço vs IPCA')\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "q6GGz2XSBsbJ",
        "outputId": "926fe6f2-4c4b-406e-f38a-a4cca57817c3"
      },
      "execution_count": 10,
      "outputs": [
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    {
      "cell_type": "code",
      "source": [
        "#QUal o nível de incerteza no mercado?\n",
        "\n",
        "#Janela de Voltilidade 30 dias - alta indefinição por parte do mercado\n",
        "mglu_retornos = mglu['Close'].pct_change()\n",
        "rol_vol = mglu_retornos.rolling(30).std()\n",
        "\n",
        "fig = go.Figure()\n",
        "fig.add_trace(go.Scatter(x=rol_vol.index, y=rol_vol))\n",
        "fig.update_layout(title_text= 'Janela Volatilidade 30 dias')\n",
        "fig.show()"
      ],
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          "height": 542
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        "id": "B4MdNI4tB29p",
        "outputId": "76d1de31-9125-4b85-c6dc-85dc1cbdd11f"
      },
      "execution_count": 11,
      "outputs": [
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\"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Janela Volatilidade 30 dias\"}},\n",
              "                        {\"responsive\": true}\n",
              "                    ).then(function(){\n",
              "                            \n",
              "var gd = document.getElementById('03def0eb-ce94-4d47-95e5-dd085cc38156');\n",
              "var x = new MutationObserver(function (mutations, observer) {{\n",
              "        var display = window.getComputedStyle(gd).display;\n",
              "        if (!display || display === 'none') {{\n",
              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
              "}}\n",
              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
              "}}\n",
              "\n",
              "                        })\n",
              "                };\n",
              "                \n",
              "            </script>\n",
              "        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##4. Importando XLSX de Resultados da MGLU3"
      ],
      "metadata": {
        "id": "vc_SOdVYCkt7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import files\n",
        "uploaded = files.upload()"
      ],
      "metadata": {
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": 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",
              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 72
        },
        "id": "quUASsatB6j3",
        "outputId": "0de355d5-b7df-4cc5-b5bf-d88cb777c5b3"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-1afa0df8-bb3a-4a2e-b19c-87310c364f6c\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-1afa0df8-bb3a-4a2e-b19c-87310c364f6c\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving RESULTADO_3T21_POR.xlsx to RESULTADO_3T21_POR.xlsx\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "###4.1. Receitas e Margens"
      ],
      "metadata": {
        "id": "LAHGwpobGXv2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "indicadores = pd.read_excel(io.BytesIO(uploaded['RESULTADO_3T21_POR.xlsx']), header=1)\n",
        "indicadores.set_index(indicadores['R$ milhões (exceto quando indicado)'],inplace=True)\n",
        "\n",
        "indicadores"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "kY2cxYB8DC-Y",
        "outputId": "48d95bc3-8824-4e7c-956d-f597b7060f34"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>R$ milhões (exceto quando indicado)</th>\n",
              "      <th>1T16</th>\n",
              "      <th>2T16</th>\n",
              "      <th>3T16</th>\n",
              "      <th>4T16</th>\n",
              "      <th>1T17</th>\n",
              "      <th>2T17</th>\n",
              "      <th>3T17</th>\n",
              "      <th>4T17</th>\n",
              "      <th>1T18</th>\n",
              "      <th>2T18</th>\n",
              "      <th>3T18</th>\n",
              "      <th>4T18</th>\n",
              "      <th>1T19</th>\n",
              "      <th>2T19</th>\n",
              "      <th>3T19</th>\n",
              "      <th>4T19</th>\n",
              "      <th>1T20</th>\n",
              "      <th>2T20</th>\n",
              "      <th>3T20</th>\n",
              "      <th>4T20</th>\n",
              "      <th>1T21</th>\n",
              "      <th>2T21</th>\n",
              "      <th>3T21</th>\n",
              "      <th>Unnamed: 24</th>\n",
              "      <th>2016</th>\n",
              "      <th>2017</th>\n",
              "      <th>2018</th>\n",
              "      <th>2019</th>\n",
              "      <th>2020</th>\n",
              "      <th>9M20</th>\n",
              "      <th>9M21</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>R$ milhões (exceto quando indicado)</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Vendas Totais (incluindo marketplace)</th>\n",
              "      <td>Vendas Totais (incluindo marketplace)</td>\n",
              "      <td>2702.54</td>\n",
              "      <td>2542.38</td>\n",
              "      <td>2673.64</td>\n",
              "      <td>3371.65</td>\n",
              "      <td>3338.14</td>\n",
              "      <td>3223.99</td>\n",
              "      <td>3473.27</td>\n",
              "      <td>4404.89</td>\n",
              "      <td>4466.153000</td>\n",
              "      <td>4618.764000</td>\n",
              "      <td>4640.632000</td>\n",
              "      <td>5942.298000</td>\n",
              "      <td>5718.013000</td>\n",
              "      <td>5746.969000</td>\n",
              "      <td>6817.648000</td>\n",
              "      <td>8988.062000</td>\n",
              "      <td>7662.504000</td>\n",
              "      <td>8566.476000</td>\n",
              "      <td>12355.456000</td>\n",
              "      <td>14932.234000</td>\n",
              "      <td>12472.693000</td>\n",
              "      <td>13746.419000</td>\n",
              "      <td>13843.797000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>11290.2</td>\n",
              "      <td>14440.3</td>\n",
              "      <td>19667.847000</td>\n",
              "      <td>27270.692000</td>\n",
              "      <td>43516.670000</td>\n",
              "      <td>28584.436000</td>\n",
              "      <td>40062.909000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Receita Bruta Total</th>\n",
              "      <td>Receita Bruta Total</td>\n",
              "      <td>2723.61</td>\n",
              "      <td>2561.53</td>\n",
              "      <td>2693.81</td>\n",
              "      <td>3392.69</td>\n",
              "      <td>3351</td>\n",
              "      <td>3217.23</td>\n",
              "      <td>3430.31</td>\n",
              "      <td>4322.56</td>\n",
              "      <td>4366.290000</td>\n",
              "      <td>4487.260000</td>\n",
              "      <td>4444.450000</td>\n",
              "      <td>5598.513000</td>\n",
              "      <td>5313.213000</td>\n",
              "      <td>5196.162000</td>\n",
              "      <td>5999.434000</td>\n",
              "      <td>7868.324000</td>\n",
              "      <td>6486.285000</td>\n",
              "      <td>6816.559000</td>\n",
              "      <td>10349.482000</td>\n",
              "      <td>12463.709000</td>\n",
              "      <td>10118.382000</td>\n",
              "      <td>10912.831000</td>\n",
              "      <td>10474.934000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>11371.6</td>\n",
              "      <td>14321.1</td>\n",
              "      <td>18896.513000</td>\n",
              "      <td>24377.133000</td>\n",
              "      <td>36116.035000</td>\n",
              "      <td>23652.326000</td>\n",
              "      <td>31506.147000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Receita Líquida Total</th>\n",
              "      <td>Receita Líquida Total</td>\n",
              "      <td>2263.47</td>\n",
              "      <td>2147.26</td>\n",
              "      <td>2258.73</td>\n",
              "      <td>2839.28</td>\n",
              "      <td>2806.93</td>\n",
              "      <td>2699.23</td>\n",
              "      <td>2856.29</td>\n",
              "      <td>3621.8</td>\n",
              "      <td>3613.263000</td>\n",
              "      <td>3696.185000</td>\n",
              "      <td>3670.467000</td>\n",
              "      <td>4610.529000</td>\n",
              "      <td>4328.984000</td>\n",
              "      <td>4308.102000</td>\n",
              "      <td>4864.198000</td>\n",
              "      <td>6385.026000</td>\n",
              "      <td>5234.749000</td>\n",
              "      <td>5568.244000</td>\n",
              "      <td>8308.326000</td>\n",
              "      <td>10065.793000</td>\n",
              "      <td>8252.813000</td>\n",
              "      <td>9013.308000</td>\n",
              "      <td>8612.033000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9508.75</td>\n",
              "      <td>11984.3</td>\n",
              "      <td>15590.444000</td>\n",
              "      <td>19886.310000</td>\n",
              "      <td>29177.112000</td>\n",
              "      <td>19111.319000</td>\n",
              "      <td>25878.154000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lucro Bruto</th>\n",
              "      <td>Lucro Bruto</td>\n",
              "      <td>683.564</td>\n",
              "      <td>682.486</td>\n",
              "      <td>715.911</td>\n",
              "      <td>840.654</td>\n",
              "      <td>832.447</td>\n",
              "      <td>834.938</td>\n",
              "      <td>882.767</td>\n",
              "      <td>1055.86</td>\n",
              "      <td>1043.355000</td>\n",
              "      <td>1108.024000</td>\n",
              "      <td>1089.868000</td>\n",
              "      <td>1296.175000</td>\n",
              "      <td>1211.419000</td>\n",
              "      <td>1092.234000</td>\n",
              "      <td>1424.919000</td>\n",
              "      <td>1825.389000</td>\n",
              "      <td>1420.473000</td>\n",
              "      <td>1435.203000</td>\n",
              "      <td>2178.734000</td>\n",
              "      <td>2485.551000</td>\n",
              "      <td>2070.102000</td>\n",
              "      <td>2308.269000</td>\n",
              "      <td>1734.133000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2922.61</td>\n",
              "      <td>3606.01</td>\n",
              "      <td>4537.422000</td>\n",
              "      <td>5553.961000</td>\n",
              "      <td>7519.961000</td>\n",
              "      <td>5034.410000</td>\n",
              "      <td>6112.504000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Margem Bruta</th>\n",
              "      <td>Margem Bruta</td>\n",
              "      <td>0.301998</td>\n",
              "      <td>0.31784</td>\n",
              "      <td>0.316953</td>\n",
              "      <td>0.296081</td>\n",
              "      <td>0.296569</td>\n",
              "      <td>0.309324</td>\n",
              "      <td>0.309061</td>\n",
              "      <td>0.291528</td>\n",
              "      <td>0.288757</td>\n",
              "      <td>0.299775</td>\n",
              "      <td>0.296929</td>\n",
              "      <td>0.281134</td>\n",
              "      <td>0.279839</td>\n",
              "      <td>0.253530</td>\n",
              "      <td>0.292940</td>\n",
              "      <td>0.285886</td>\n",
              "      <td>0.271355</td>\n",
              "      <td>0.257748</td>\n",
              "      <td>0.262235</td>\n",
              "      <td>0.246930</td>\n",
              "      <td>0.250836</td>\n",
              "      <td>0.256096</td>\n",
              "      <td>0.201362</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.307361</td>\n",
              "      <td>0.300896</td>\n",
              "      <td>0.291039</td>\n",
              "      <td>0.279286</td>\n",
              "      <td>0.257735</td>\n",
              "      <td>0.263426</td>\n",
              "      <td>0.236203</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>EBITDA</th>\n",
              "      <td>EBITDA</td>\n",
              "      <td>144.115</td>\n",
              "      <td>163.196</td>\n",
              "      <td>180.376</td>\n",
              "      <td>226.87</td>\n",
              "      <td>231.887</td>\n",
              "      <td>235.778</td>\n",
              "      <td>250.379</td>\n",
              "      <td>312.709</td>\n",
              "      <td>300.505000</td>\n",
              "      <td>312.401000</td>\n",
              "      <td>278.865000</td>\n",
              "      <td>353.470000</td>\n",
              "      <td>395.372000</td>\n",
              "      <td>379.923000</td>\n",
              "      <td>501.191000</td>\n",
              "      <td>499.052000</td>\n",
              "      <td>332.621000</td>\n",
              "      <td>143.744000</td>\n",
              "      <td>546.069000</td>\n",
              "      <td>504.665000</td>\n",
              "      <td>695.589000</td>\n",
              "      <td>465.111000</td>\n",
              "      <td>134.754000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>714.557</td>\n",
              "      <td>1030.75</td>\n",
              "      <td>1245.241000</td>\n",
              "      <td>1775.538000</td>\n",
              "      <td>1527.099000</td>\n",
              "      <td>1022.434000</td>\n",
              "      <td>1295.454000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Margem EBITDA</th>\n",
              "      <td>Margem EBITDA</td>\n",
              "      <td>0.0636698</td>\n",
              "      <td>0.0760018</td>\n",
              "      <td>0.0798572</td>\n",
              "      <td>0.0799042</td>\n",
              "      <td>0.0826125</td>\n",
              "      <td>0.0873501</td>\n",
              "      <td>0.0876588</td>\n",
              "      <td>0.0863407</td>\n",
              "      <td>0.083167</td>\n",
              "      <td>0.084520</td>\n",
              "      <td>0.075975</td>\n",
              "      <td>0.076666</td>\n",
              "      <td>0.091331</td>\n",
              "      <td>0.088188</td>\n",
              "      <td>0.103037</td>\n",
              "      <td>0.078160</td>\n",
              "      <td>0.063541</td>\n",
              "      <td>0.025815</td>\n",
              "      <td>0.065726</td>\n",
              "      <td>0.050137</td>\n",
              "      <td>0.084285</td>\n",
              "      <td>0.051603</td>\n",
              "      <td>0.015647</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0751474</td>\n",
              "      <td>0.086009</td>\n",
              "      <td>0.079872</td>\n",
              "      <td>0.089284</td>\n",
              "      <td>0.052339</td>\n",
              "      <td>0.053499</td>\n",
              "      <td>0.050060</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>EBITDA Ajustado</th>\n",
              "      <td>EBITDA Ajustado</td>\n",
              "      <td>163.116</td>\n",
              "      <td>168.497</td>\n",
              "      <td>180.813</td>\n",
              "      <td>229.295</td>\n",
              "      <td>232.443</td>\n",
              "      <td>237.149</td>\n",
              "      <td>250.581</td>\n",
              "      <td>316.079</td>\n",
              "      <td>289.928000</td>\n",
              "      <td>314.206000</td>\n",
              "      <td>280.990000</td>\n",
              "      <td>348.206000</td>\n",
              "      <td>385.545000</td>\n",
              "      <td>380.506728</td>\n",
              "      <td>397.514272</td>\n",
              "      <td>496.153000</td>\n",
              "      <td>273.852000</td>\n",
              "      <td>147.224000</td>\n",
              "      <td>561.180000</td>\n",
              "      <td>523.786000</td>\n",
              "      <td>427.154000</td>\n",
              "      <td>455.425000</td>\n",
              "      <td>351.038000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>741.721</td>\n",
              "      <td>1036.25</td>\n",
              "      <td>1233.330000</td>\n",
              "      <td>1659.719000</td>\n",
              "      <td>1506.042000</td>\n",
              "      <td>982.256000</td>\n",
              "      <td>1233.617000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Margem EBITDA Ajustado</th>\n",
              "      <td>Margem EBITDA Ajustado</td>\n",
              "      <td>0.0720644</td>\n",
              "      <td>0.0784706</td>\n",
              "      <td>0.0800507</td>\n",
              "      <td>0.0807583</td>\n",
              "      <td>0.0828105</td>\n",
              "      <td>0.087858</td>\n",
              "      <td>0.0877296</td>\n",
              "      <td>0.0872711</td>\n",
              "      <td>0.080240</td>\n",
              "      <td>0.085008</td>\n",
              "      <td>0.076554</td>\n",
              "      <td>0.075524</td>\n",
              "      <td>0.089061</td>\n",
              "      <td>0.088324</td>\n",
              "      <td>0.081722</td>\n",
              "      <td>0.077706</td>\n",
              "      <td>0.052314</td>\n",
              "      <td>0.026440</td>\n",
              "      <td>0.067544</td>\n",
              "      <td>0.052036</td>\n",
              "      <td>0.051759</td>\n",
              "      <td>0.050528</td>\n",
              "      <td>0.040761</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0780041</td>\n",
              "      <td>0.0864678</td>\n",
              "      <td>0.079108</td>\n",
              "      <td>0.083460</td>\n",
              "      <td>0.051617</td>\n",
              "      <td>0.051397</td>\n",
              "      <td>0.047670</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lucro Líquido</th>\n",
              "      <td>Lucro Líquido</td>\n",
              "      <td>5.254</td>\n",
              "      <td>10.419</td>\n",
              "      <td>24.823</td>\n",
              "      <td>46.069</td>\n",
              "      <td>58.563</td>\n",
              "      <td>72.356</td>\n",
              "      <td>92.484</td>\n",
              "      <td>165.619</td>\n",
              "      <td>147.483000</td>\n",
              "      <td>140.746000</td>\n",
              "      <td>119.556000</td>\n",
              "      <td>189.644000</td>\n",
              "      <td>132.104000</td>\n",
              "      <td>386.624000</td>\n",
              "      <td>235.111000</td>\n",
              "      <td>167.998000</td>\n",
              "      <td>30.803000</td>\n",
              "      <td>-64.537000</td>\n",
              "      <td>205.957000</td>\n",
              "      <td>219.486000</td>\n",
              "      <td>258.640000</td>\n",
              "      <td>95.537000</td>\n",
              "      <td>143.516000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>86.565</td>\n",
              "      <td>389.022</td>\n",
              "      <td>597.429000</td>\n",
              "      <td>921.837000</td>\n",
              "      <td>391.709000</td>\n",
              "      <td>172.223000</td>\n",
              "      <td>497.693000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Margem Líquida</th>\n",
              "      <td>Margem Líquida</td>\n",
              "      <td>0.00232121</td>\n",
              "      <td>0.00485222</td>\n",
              "      <td>0.0109898</td>\n",
              "      <td>0.0162256</td>\n",
              "      <td>0.0208638</td>\n",
              "      <td>0.0268062</td>\n",
              "      <td>0.0323791</td>\n",
              "      <td>0.0457283</td>\n",
              "      <td>0.040817</td>\n",
              "      <td>0.038079</td>\n",
              "      <td>0.032572</td>\n",
              "      <td>0.041133</td>\n",
              "      <td>0.030516</td>\n",
              "      <td>0.089743</td>\n",
              "      <td>0.048335</td>\n",
              "      <td>0.026311</td>\n",
              "      <td>0.005884</td>\n",
              "      <td>-0.011590</td>\n",
              "      <td>0.024789</td>\n",
              "      <td>0.021805</td>\n",
              "      <td>0.031340</td>\n",
              "      <td>0.010600</td>\n",
              "      <td>0.016665</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.00910373</td>\n",
              "      <td>0.0324611</td>\n",
              "      <td>0.038320</td>\n",
              "      <td>0.046355</td>\n",
              "      <td>0.013425</td>\n",
              "      <td>0.009012</td>\n",
              "      <td>0.019232</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lucro Líquido Ajustado</th>\n",
              "      <td>Lucro Líquido Ajustado</td>\n",
              "      <td>17.795</td>\n",
              "      <td>13.918</td>\n",
              "      <td>25.111</td>\n",
              "      <td>47.67</td>\n",
              "      <td>58.93</td>\n",
              "      <td>73.261</td>\n",
              "      <td>92.617</td>\n",
              "      <td>167.843</td>\n",
              "      <td>140.502180</td>\n",
              "      <td>141.937300</td>\n",
              "      <td>120.958500</td>\n",
              "      <td>186.170000</td>\n",
              "      <td>125.618180</td>\n",
              "      <td>85.170901</td>\n",
              "      <td>127.299529</td>\n",
              "      <td>166.085000</td>\n",
              "      <td>-7.990000</td>\n",
              "      <td>-62.240000</td>\n",
              "      <td>215.930000</td>\n",
              "      <td>232.106000</td>\n",
              "      <td>81.473000</td>\n",
              "      <td>89.144000</td>\n",
              "      <td>22.565000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>104.494</td>\n",
              "      <td>392.651</td>\n",
              "      <td>589.567980</td>\n",
              "      <td>504.173610</td>\n",
              "      <td>377.806000</td>\n",
              "      <td>145.700000</td>\n",
              "      <td>193.182000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Margem Líquida Ajustada</th>\n",
              "      <td>Margem Líquida Ajustada</td>\n",
              "      <td>0.00786181</td>\n",
              "      <td>0.00648174</td>\n",
              "      <td>0.0111173</td>\n",
              "      <td>0.0167895</td>\n",
              "      <td>0.0209945</td>\n",
              "      <td>0.0271414</td>\n",
              "      <td>0.0324256</td>\n",
              "      <td>0.0463424</td>\n",
              "      <td>0.038885</td>\n",
              "      <td>0.038401</td>\n",
              "      <td>0.032955</td>\n",
              "      <td>0.040379</td>\n",
              "      <td>0.029018</td>\n",
              "      <td>0.019770</td>\n",
              "      <td>0.026171</td>\n",
              "      <td>0.026012</td>\n",
              "      <td>-0.001526</td>\n",
              "      <td>-0.011178</td>\n",
              "      <td>0.025990</td>\n",
              "      <td>0.023059</td>\n",
              "      <td>0.009872</td>\n",
              "      <td>0.009890</td>\n",
              "      <td>0.002620</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0109893</td>\n",
              "      <td>0.0327639</td>\n",
              "      <td>0.037816</td>\n",
              "      <td>0.025353</td>\n",
              "      <td>0.012949</td>\n",
              "      <td>0.007624</td>\n",
              "      <td>0.007465</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Crescimento nas Vendas Mesmas Lojas Físicas</th>\n",
              "      <td>Crescimento nas Vendas Mesmas Lojas Físicas</td>\n",
              "      <td>-0.061</td>\n",
              "      <td>-0.039</td>\n",
              "      <td>0.055</td>\n",
              "      <td>0.057</td>\n",
              "      <td>0.116</td>\n",
              "      <td>0.141224</td>\n",
              "      <td>0.15</td>\n",
              "      <td>0.15</td>\n",
              "      <td>0.158730</td>\n",
              "      <td>0.270820</td>\n",
              "      <td>0.163460</td>\n",
              "      <td>0.161130</td>\n",
              "      <td>0.081020</td>\n",
              "      <td>0.003380</td>\n",
              "      <td>0.094090</td>\n",
              "      <td>0.126110</td>\n",
              "      <td>-0.045260</td>\n",
              "      <td>-0.508540</td>\n",
              "      <td>0.072420</td>\n",
              "      <td>0.109350</td>\n",
              "      <td>-0.004830</td>\n",
              "      <td>1.022080</td>\n",
              "      <td>-0.146080</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.004</td>\n",
              "      <td>0.143</td>\n",
              "      <td>0.186030</td>\n",
              "      <td>0.078290</td>\n",
              "      <td>-0.073540</td>\n",
              "      <td>-0.156980</td>\n",
              "      <td>0.130900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Crescimento nas Vendas Totais Lojas Físicas</th>\n",
              "      <td>Crescimento nas Vendas Totais Lojas Físicas</td>\n",
              "      <td>-0.03</td>\n",
              "      <td>-0.014</td>\n",
              "      <td>0.069</td>\n",
              "      <td>0.068</td>\n",
              "      <td>0.134</td>\n",
              "      <td>0.169636</td>\n",
              "      <td>0.186</td>\n",
              "      <td>0.201</td>\n",
              "      <td>0.213770</td>\n",
              "      <td>0.341440</td>\n",
              "      <td>0.240420</td>\n",
              "      <td>0.241680</td>\n",
              "      <td>0.159870</td>\n",
              "      <td>0.087500</td>\n",
              "      <td>0.190150</td>\n",
              "      <td>0.261270</td>\n",
              "      <td>0.067320</td>\n",
              "      <td>-0.451440</td>\n",
              "      <td>0.183080</td>\n",
              "      <td>0.157160</td>\n",
              "      <td>0.037490</td>\n",
              "      <td>1.115980</td>\n",
              "      <td>-0.079670</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.024</td>\n",
              "      <td>0.174</td>\n",
              "      <td>0.257650</td>\n",
              "      <td>0.178950</td>\n",
              "      <td>0.005780</td>\n",
              "      <td>-0.063290</td>\n",
              "      <td>0.194090</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Crescimento nas Vendas E-commerce (1P)</th>\n",
              "      <td>Crescimento nas Vendas E-commerce (1P)</td>\n",
              "      <td>0.275</td>\n",
              "      <td>0.329</td>\n",
              "      <td>0.243</td>\n",
              "      <td>0.415</td>\n",
              "      <td>0.562</td>\n",
              "      <td>0.556312</td>\n",
              "      <td>0.546</td>\n",
              "      <td>0.47</td>\n",
              "      <td>0.537020</td>\n",
              "      <td>0.547780</td>\n",
              "      <td>0.437880</td>\n",
              "      <td>0.438120</td>\n",
              "      <td>0.333060</td>\n",
              "      <td>0.308610</td>\n",
              "      <td>0.663360</td>\n",
              "      <td>0.686440</td>\n",
              "      <td>0.475330</td>\n",
              "      <td>1.715060</td>\n",
              "      <td>1.495440</td>\n",
              "      <td>1.198150</td>\n",
              "      <td>1.215230</td>\n",
              "      <td>0.401290</td>\n",
              "      <td>0.067390</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.32</td>\n",
              "      <td>0.527</td>\n",
              "      <td>0.484030</td>\n",
              "      <td>0.513520</td>\n",
              "      <td>1.225810</td>\n",
              "      <td>1.239960</td>\n",
              "      <td>0.422180</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Crescimento nas Vendas Marketplace (3P)</th>\n",
              "      <td>Crescimento nas Vendas Marketplace (3P)</td>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>8.122340</td>\n",
              "      <td>4.088500</td>\n",
              "      <td>2.197250</td>\n",
              "      <td>204.819000</td>\n",
              "      <td>2.436180</td>\n",
              "      <td>2.886070</td>\n",
              "      <td>3.002530</td>\n",
              "      <td>2.164190</td>\n",
              "      <td>1.848040</td>\n",
              "      <td>2.141850</td>\n",
              "      <td>1.453820</td>\n",
              "      <td>1.229450</td>\n",
              "      <td>0.979800</td>\n",
              "      <td>0.632770</td>\n",
              "      <td>0.672880</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>2.717070</td>\n",
              "      <td>2.539940</td>\n",
              "      <td>1.556770</td>\n",
              "      <td>1.759580</td>\n",
              "      <td>0.731930</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Crescimento nas Vendas E-commerce Total</th>\n",
              "      <td>Crescimento nas Vendas E-commerce Total</td>\n",
              "      <td>0.275</td>\n",
              "      <td>0.329</td>\n",
              "      <td>0.245</td>\n",
              "      <td>0.42</td>\n",
              "      <td>0.585</td>\n",
              "      <td>0.607889</td>\n",
              "      <td>0.645</td>\n",
              "      <td>0.6</td>\n",
              "      <td>0.646220</td>\n",
              "      <td>0.661300</td>\n",
              "      <td>0.545800</td>\n",
              "      <td>0.573960</td>\n",
              "      <td>0.500840</td>\n",
              "      <td>0.561840</td>\n",
              "      <td>0.960100</td>\n",
              "      <td>0.927900</td>\n",
              "      <td>0.726040</td>\n",
              "      <td>1.819400</td>\n",
              "      <td>1.484660</td>\n",
              "      <td>1.206540</td>\n",
              "      <td>1.144280</td>\n",
              "      <td>0.464350</td>\n",
              "      <td>0.222290</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.323</td>\n",
              "      <td>0.609</td>\n",
              "      <td>0.601110</td>\n",
              "      <td>0.760170</td>\n",
              "      <td>1.306830</td>\n",
              "      <td>1.360640</td>\n",
              "      <td>0.506270</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Participação E-commerce Total nas Vendas Totais</th>\n",
              "      <td>Participação E-commerce Total nas Vendas Totais</td>\n",
              "      <td>0.224</td>\n",
              "      <td>0.225</td>\n",
              "      <td>0.247</td>\n",
              "      <td>0.264</td>\n",
              "      <td>0.287</td>\n",
              "      <td>0.284985</td>\n",
              "      <td>0.313</td>\n",
              "      <td>0.323</td>\n",
              "      <td>0.353210</td>\n",
              "      <td>0.330480</td>\n",
              "      <td>0.362300</td>\n",
              "      <td>0.376950</td>\n",
              "      <td>0.414050</td>\n",
              "      <td>0.414840</td>\n",
              "      <td>0.483410</td>\n",
              "      <td>0.480450</td>\n",
              "      <td>0.532730</td>\n",
              "      <td>0.784650</td>\n",
              "      <td>0.662760</td>\n",
              "      <td>0.638110</td>\n",
              "      <td>0.702540</td>\n",
              "      <td>0.716040</td>\n",
              "      <td>0.723000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.242</td>\n",
              "      <td>0.304</td>\n",
              "      <td>0.357200</td>\n",
              "      <td>0.453440</td>\n",
              "      <td>0.655510</td>\n",
              "      <td>0.664500</td>\n",
              "      <td>0.714240</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Quantidade de Lojas - Final do Período</th>\n",
              "      <td>Quantidade de Lojas - Final do Período</td>\n",
              "      <td>785</td>\n",
              "      <td>786</td>\n",
              "      <td>790</td>\n",
              "      <td>799</td>\n",
              "      <td>803</td>\n",
              "      <td>813</td>\n",
              "      <td>829</td>\n",
              "      <td>857</td>\n",
              "      <td>857.000000</td>\n",
              "      <td>884.000000</td>\n",
              "      <td>912.000000</td>\n",
              "      <td>953.000000</td>\n",
              "      <td>958.000000</td>\n",
              "      <td>986.000000</td>\n",
              "      <td>1038.000000</td>\n",
              "      <td>1112.000000</td>\n",
              "      <td>1156.000000</td>\n",
              "      <td>1156.000000</td>\n",
              "      <td>1237.000000</td>\n",
              "      <td>1301.000000</td>\n",
              "      <td>1310.000000</td>\n",
              "      <td>1339.000000</td>\n",
              "      <td>1413.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>799</td>\n",
              "      <td>857</td>\n",
              "      <td>953.000000</td>\n",
              "      <td>1112.000000</td>\n",
              "      <td>1301.000000</td>\n",
              "      <td>1237.000000</td>\n",
              "      <td>1413.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Área de Vendas - Final do Período (M²)</th>\n",
              "      <td>Área de Vendas - Final do Período (M²)</td>\n",
              "      <td>498570</td>\n",
              "      <td>498870</td>\n",
              "      <td>500239</td>\n",
              "      <td>501319</td>\n",
              "      <td>503907</td>\n",
              "      <td>509909</td>\n",
              "      <td>516598</td>\n",
              "      <td>525981</td>\n",
              "      <td>526052.034000</td>\n",
              "      <td>538752.804000</td>\n",
              "      <td>551432.102000</td>\n",
              "      <td>572393.992000</td>\n",
              "      <td>574796.612000</td>\n",
              "      <td>585341.301550</td>\n",
              "      <td>612352.741550</td>\n",
              "      <td>648227.441550</td>\n",
              "      <td>647170.961550</td>\n",
              "      <td>647170.961550</td>\n",
              "      <td>656189.201550</td>\n",
              "      <td>666089.322000</td>\n",
              "      <td>670197.016000</td>\n",
              "      <td>674815.452000</td>\n",
              "      <td>700330.912000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>501319</td>\n",
              "      <td>525981</td>\n",
              "      <td>572393.992000</td>\n",
              "      <td>648227.441550</td>\n",
              "      <td>666089.322000</td>\n",
              "      <td>656189.201550</td>\n",
              "      <td>700330.912000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                             R$ milhões (exceto quando indicado)  ...           9M21\n",
              "R$ milhões (exceto quando indicado)                                                               ...               \n",
              "NaN                                                                                          NaN  ...            NaN\n",
              "Vendas Totais (incluindo marketplace)                     Vendas Totais (incluindo marketplace)   ...   40062.909000\n",
              "NaN                                                                                          NaN  ...            NaN\n",
              "Receita Bruta Total                                                          Receita Bruta Total  ...   31506.147000\n",
              "Receita Líquida Total                                                      Receita Líquida Total  ...   25878.154000\n",
              "NaN                                                                                          NaN  ...            NaN\n",
              "Lucro Bruto                                                                          Lucro Bruto  ...    6112.504000\n",
              "Margem Bruta                                                                        Margem Bruta  ...       0.236203\n",
              "NaN                                                                                          NaN  ...            NaN\n",
              "EBITDA                                                                                    EBITDA  ...    1295.454000\n",
              "Margem EBITDA                                                                      Margem EBITDA  ...       0.050060\n",
              "NaN                                                                                          NaN  ...            NaN\n",
              "EBITDA Ajustado                                                                  EBITDA Ajustado  ...    1233.617000\n",
              "Margem EBITDA Ajustado                                                    Margem EBITDA Ajustado  ...       0.047670\n",
              "NaN                                                                                          NaN  ...            NaN\n",
              "Lucro Líquido                                                                      Lucro Líquido  ...     497.693000\n",
              "Margem Líquida                                                                    Margem Líquida  ...       0.019232\n",
              "NaN                                                                                          NaN  ...            NaN\n",
              "Lucro Líquido Ajustado                                                    Lucro Líquido Ajustado  ...     193.182000\n",
              "Margem Líquida Ajustada                                                  Margem Líquida Ajustada  ...       0.007465\n",
              "NaN                                                                                          NaN  ...            NaN\n",
              "Crescimento nas Vendas Mesmas Lojas Físicas          Crescimento nas Vendas Mesmas Lojas Físicas  ...       0.130900\n",
              "Crescimento nas Vendas Totais Lojas Físicas          Crescimento nas Vendas Totais Lojas Físicas  ...       0.194090\n",
              "Crescimento nas Vendas E-commerce (1P)                    Crescimento nas Vendas E-commerce (1P)  ...       0.422180\n",
              "Crescimento nas Vendas Marketplace (3P)                  Crescimento nas Vendas Marketplace (3P)  ...       0.731930\n",
              "Crescimento nas Vendas E-commerce Total                  Crescimento nas Vendas E-commerce Total  ...       0.506270\n",
              "Participação E-commerce Total nas Vendas Totais  Participação E-commerce Total nas Vendas Totais  ...       0.714240\n",
              "NaN                                                                                          NaN  ...            NaN\n",
              "Quantidade de Lojas - Final do Período                    Quantidade de Lojas - Final do Período  ...    1413.000000\n",
              "Área de Vendas - Final do Período (M²)                    Área de Vendas - Final do Período (M²)  ...  700330.912000\n",
              "\n",
              "[30 rows x 32 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "indicadores.drop(columns=['R$ milhões (exceto quando indicado)'],inplace=True)\n",
        "indicadores.drop(columns=['Unnamed: 24',\t'2016',\t'2017',\t'2018',\t'2019',\t'2020',\t'9M20',\t'9M21'], axis=1, inplace=True)\n",
        "indicadores"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "0PwPAFsWDQu8",
        "outputId": "7f7f964b-12b2-49d0-e919-487bd86a8426"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "      <th>1T16</th>\n",
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              "    <tr>\n",
              "      <th>R$ milhões (exceto quando indicado)</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Vendas Totais (incluindo marketplace)</th>\n",
              "      <td>2702.54</td>\n",
              "      <td>2542.38</td>\n",
              "      <td>2673.64</td>\n",
              "      <td>3371.65</td>\n",
              "      <td>3338.14</td>\n",
              "      <td>3223.99</td>\n",
              "      <td>3473.27</td>\n",
              "      <td>4404.89</td>\n",
              "      <td>4466.153000</td>\n",
              "      <td>4618.764000</td>\n",
              "      <td>4640.632000</td>\n",
              "      <td>5942.298000</td>\n",
              "      <td>5718.013000</td>\n",
              "      <td>5746.969000</td>\n",
              "      <td>6817.648000</td>\n",
              "      <td>8988.062000</td>\n",
              "      <td>7662.504000</td>\n",
              "      <td>8566.476000</td>\n",
              "      <td>12355.456000</td>\n",
              "      <td>14932.234000</td>\n",
              "      <td>12472.693000</td>\n",
              "      <td>13746.419000</td>\n",
              "      <td>13843.797000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Receita Bruta Total</th>\n",
              "      <td>2723.61</td>\n",
              "      <td>2561.53</td>\n",
              "      <td>2693.81</td>\n",
              "      <td>3392.69</td>\n",
              "      <td>3351</td>\n",
              "      <td>3217.23</td>\n",
              "      <td>3430.31</td>\n",
              "      <td>4322.56</td>\n",
              "      <td>4366.290000</td>\n",
              "      <td>4487.260000</td>\n",
              "      <td>4444.450000</td>\n",
              "      <td>5598.513000</td>\n",
              "      <td>5313.213000</td>\n",
              "      <td>5196.162000</td>\n",
              "      <td>5999.434000</td>\n",
              "      <td>7868.324000</td>\n",
              "      <td>6486.285000</td>\n",
              "      <td>6816.559000</td>\n",
              "      <td>10349.482000</td>\n",
              "      <td>12463.709000</td>\n",
              "      <td>10118.382000</td>\n",
              "      <td>10912.831000</td>\n",
              "      <td>10474.934000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Receita Líquida Total</th>\n",
              "      <td>2263.47</td>\n",
              "      <td>2147.26</td>\n",
              "      <td>2258.73</td>\n",
              "      <td>2839.28</td>\n",
              "      <td>2806.93</td>\n",
              "      <td>2699.23</td>\n",
              "      <td>2856.29</td>\n",
              "      <td>3621.8</td>\n",
              "      <td>3613.263000</td>\n",
              "      <td>3696.185000</td>\n",
              "      <td>3670.467000</td>\n",
              "      <td>4610.529000</td>\n",
              "      <td>4328.984000</td>\n",
              "      <td>4308.102000</td>\n",
              "      <td>4864.198000</td>\n",
              "      <td>6385.026000</td>\n",
              "      <td>5234.749000</td>\n",
              "      <td>5568.244000</td>\n",
              "      <td>8308.326000</td>\n",
              "      <td>10065.793000</td>\n",
              "      <td>8252.813000</td>\n",
              "      <td>9013.308000</td>\n",
              "      <td>8612.033000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lucro Bruto</th>\n",
              "      <td>683.564</td>\n",
              "      <td>682.486</td>\n",
              "      <td>715.911</td>\n",
              "      <td>840.654</td>\n",
              "      <td>832.447</td>\n",
              "      <td>834.938</td>\n",
              "      <td>882.767</td>\n",
              "      <td>1055.86</td>\n",
              "      <td>1043.355000</td>\n",
              "      <td>1108.024000</td>\n",
              "      <td>1089.868000</td>\n",
              "      <td>1296.175000</td>\n",
              "      <td>1211.419000</td>\n",
              "      <td>1092.234000</td>\n",
              "      <td>1424.919000</td>\n",
              "      <td>1825.389000</td>\n",
              "      <td>1420.473000</td>\n",
              "      <td>1435.203000</td>\n",
              "      <td>2178.734000</td>\n",
              "      <td>2485.551000</td>\n",
              "      <td>2070.102000</td>\n",
              "      <td>2308.269000</td>\n",
              "      <td>1734.133000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Margem Bruta</th>\n",
              "      <td>0.301998</td>\n",
              "      <td>0.31784</td>\n",
              "      <td>0.316953</td>\n",
              "      <td>0.296081</td>\n",
              "      <td>0.296569</td>\n",
              "      <td>0.309324</td>\n",
              "      <td>0.309061</td>\n",
              "      <td>0.291528</td>\n",
              "      <td>0.288757</td>\n",
              "      <td>0.299775</td>\n",
              "      <td>0.296929</td>\n",
              "      <td>0.281134</td>\n",
              "      <td>0.279839</td>\n",
              "      <td>0.253530</td>\n",
              "      <td>0.292940</td>\n",
              "      <td>0.285886</td>\n",
              "      <td>0.271355</td>\n",
              "      <td>0.257748</td>\n",
              "      <td>0.262235</td>\n",
              "      <td>0.246930</td>\n",
              "      <td>0.250836</td>\n",
              "      <td>0.256096</td>\n",
              "      <td>0.201362</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>EBITDA</th>\n",
              "      <td>144.115</td>\n",
              "      <td>163.196</td>\n",
              "      <td>180.376</td>\n",
              "      <td>226.87</td>\n",
              "      <td>231.887</td>\n",
              "      <td>235.778</td>\n",
              "      <td>250.379</td>\n",
              "      <td>312.709</td>\n",
              "      <td>300.505000</td>\n",
              "      <td>312.401000</td>\n",
              "      <td>278.865000</td>\n",
              "      <td>353.470000</td>\n",
              "      <td>395.372000</td>\n",
              "      <td>379.923000</td>\n",
              "      <td>501.191000</td>\n",
              "      <td>499.052000</td>\n",
              "      <td>332.621000</td>\n",
              "      <td>143.744000</td>\n",
              "      <td>546.069000</td>\n",
              "      <td>504.665000</td>\n",
              "      <td>695.589000</td>\n",
              "      <td>465.111000</td>\n",
              "      <td>134.754000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Margem EBITDA</th>\n",
              "      <td>0.0636698</td>\n",
              "      <td>0.0760018</td>\n",
              "      <td>0.0798572</td>\n",
              "      <td>0.0799042</td>\n",
              "      <td>0.0826125</td>\n",
              "      <td>0.0873501</td>\n",
              "      <td>0.0876588</td>\n",
              "      <td>0.0863407</td>\n",
              "      <td>0.083167</td>\n",
              "      <td>0.084520</td>\n",
              "      <td>0.075975</td>\n",
              "      <td>0.076666</td>\n",
              "      <td>0.091331</td>\n",
              "      <td>0.088188</td>\n",
              "      <td>0.103037</td>\n",
              "      <td>0.078160</td>\n",
              "      <td>0.063541</td>\n",
              "      <td>0.025815</td>\n",
              "      <td>0.065726</td>\n",
              "      <td>0.050137</td>\n",
              "      <td>0.084285</td>\n",
              "      <td>0.051603</td>\n",
              "      <td>0.015647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>EBITDA Ajustado</th>\n",
              "      <td>163.116</td>\n",
              "      <td>168.497</td>\n",
              "      <td>180.813</td>\n",
              "      <td>229.295</td>\n",
              "      <td>232.443</td>\n",
              "      <td>237.149</td>\n",
              "      <td>250.581</td>\n",
              "      <td>316.079</td>\n",
              "      <td>289.928000</td>\n",
              "      <td>314.206000</td>\n",
              "      <td>280.990000</td>\n",
              "      <td>348.206000</td>\n",
              "      <td>385.545000</td>\n",
              "      <td>380.506728</td>\n",
              "      <td>397.514272</td>\n",
              "      <td>496.153000</td>\n",
              "      <td>273.852000</td>\n",
              "      <td>147.224000</td>\n",
              "      <td>561.180000</td>\n",
              "      <td>523.786000</td>\n",
              "      <td>427.154000</td>\n",
              "      <td>455.425000</td>\n",
              "      <td>351.038000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Margem EBITDA Ajustado</th>\n",
              "      <td>0.0720644</td>\n",
              "      <td>0.0784706</td>\n",
              "      <td>0.0800507</td>\n",
              "      <td>0.0807583</td>\n",
              "      <td>0.0828105</td>\n",
              "      <td>0.087858</td>\n",
              "      <td>0.0877296</td>\n",
              "      <td>0.0872711</td>\n",
              "      <td>0.080240</td>\n",
              "      <td>0.085008</td>\n",
              "      <td>0.076554</td>\n",
              "      <td>0.075524</td>\n",
              "      <td>0.089061</td>\n",
              "      <td>0.088324</td>\n",
              "      <td>0.081722</td>\n",
              "      <td>0.077706</td>\n",
              "      <td>0.052314</td>\n",
              "      <td>0.026440</td>\n",
              "      <td>0.067544</td>\n",
              "      <td>0.052036</td>\n",
              "      <td>0.051759</td>\n",
              "      <td>0.050528</td>\n",
              "      <td>0.040761</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lucro Líquido</th>\n",
              "      <td>5.254</td>\n",
              "      <td>10.419</td>\n",
              "      <td>24.823</td>\n",
              "      <td>46.069</td>\n",
              "      <td>58.563</td>\n",
              "      <td>72.356</td>\n",
              "      <td>92.484</td>\n",
              "      <td>165.619</td>\n",
              "      <td>147.483000</td>\n",
              "      <td>140.746000</td>\n",
              "      <td>119.556000</td>\n",
              "      <td>189.644000</td>\n",
              "      <td>132.104000</td>\n",
              "      <td>386.624000</td>\n",
              "      <td>235.111000</td>\n",
              "      <td>167.998000</td>\n",
              "      <td>30.803000</td>\n",
              "      <td>-64.537000</td>\n",
              "      <td>205.957000</td>\n",
              "      <td>219.486000</td>\n",
              "      <td>258.640000</td>\n",
              "      <td>95.537000</td>\n",
              "      <td>143.516000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Margem Líquida</th>\n",
              "      <td>0.00232121</td>\n",
              "      <td>0.00485222</td>\n",
              "      <td>0.0109898</td>\n",
              "      <td>0.0162256</td>\n",
              "      <td>0.0208638</td>\n",
              "      <td>0.0268062</td>\n",
              "      <td>0.0323791</td>\n",
              "      <td>0.0457283</td>\n",
              "      <td>0.040817</td>\n",
              "      <td>0.038079</td>\n",
              "      <td>0.032572</td>\n",
              "      <td>0.041133</td>\n",
              "      <td>0.030516</td>\n",
              "      <td>0.089743</td>\n",
              "      <td>0.048335</td>\n",
              "      <td>0.026311</td>\n",
              "      <td>0.005884</td>\n",
              "      <td>-0.011590</td>\n",
              "      <td>0.024789</td>\n",
              "      <td>0.021805</td>\n",
              "      <td>0.031340</td>\n",
              "      <td>0.010600</td>\n",
              "      <td>0.016665</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lucro Líquido Ajustado</th>\n",
              "      <td>17.795</td>\n",
              "      <td>13.918</td>\n",
              "      <td>25.111</td>\n",
              "      <td>47.67</td>\n",
              "      <td>58.93</td>\n",
              "      <td>73.261</td>\n",
              "      <td>92.617</td>\n",
              "      <td>167.843</td>\n",
              "      <td>140.502180</td>\n",
              "      <td>141.937300</td>\n",
              "      <td>120.958500</td>\n",
              "      <td>186.170000</td>\n",
              "      <td>125.618180</td>\n",
              "      <td>85.170901</td>\n",
              "      <td>127.299529</td>\n",
              "      <td>166.085000</td>\n",
              "      <td>-7.990000</td>\n",
              "      <td>-62.240000</td>\n",
              "      <td>215.930000</td>\n",
              "      <td>232.106000</td>\n",
              "      <td>81.473000</td>\n",
              "      <td>89.144000</td>\n",
              "      <td>22.565000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Margem Líquida Ajustada</th>\n",
              "      <td>0.00786181</td>\n",
              "      <td>0.00648174</td>\n",
              "      <td>0.0111173</td>\n",
              "      <td>0.0167895</td>\n",
              "      <td>0.0209945</td>\n",
              "      <td>0.0271414</td>\n",
              "      <td>0.0324256</td>\n",
              "      <td>0.0463424</td>\n",
              "      <td>0.038885</td>\n",
              "      <td>0.038401</td>\n",
              "      <td>0.032955</td>\n",
              "      <td>0.040379</td>\n",
              "      <td>0.029018</td>\n",
              "      <td>0.019770</td>\n",
              "      <td>0.026171</td>\n",
              "      <td>0.026012</td>\n",
              "      <td>-0.001526</td>\n",
              "      <td>-0.011178</td>\n",
              "      <td>0.025990</td>\n",
              "      <td>0.023059</td>\n",
              "      <td>0.009872</td>\n",
              "      <td>0.009890</td>\n",
              "      <td>0.002620</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Crescimento nas Vendas Mesmas Lojas Físicas</th>\n",
              "      <td>-0.061</td>\n",
              "      <td>-0.039</td>\n",
              "      <td>0.055</td>\n",
              "      <td>0.057</td>\n",
              "      <td>0.116</td>\n",
              "      <td>0.141224</td>\n",
              "      <td>0.15</td>\n",
              "      <td>0.15</td>\n",
              "      <td>0.158730</td>\n",
              "      <td>0.270820</td>\n",
              "      <td>0.163460</td>\n",
              "      <td>0.161130</td>\n",
              "      <td>0.081020</td>\n",
              "      <td>0.003380</td>\n",
              "      <td>0.094090</td>\n",
              "      <td>0.126110</td>\n",
              "      <td>-0.045260</td>\n",
              "      <td>-0.508540</td>\n",
              "      <td>0.072420</td>\n",
              "      <td>0.109350</td>\n",
              "      <td>-0.004830</td>\n",
              "      <td>1.022080</td>\n",
              "      <td>-0.146080</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Crescimento nas Vendas Totais Lojas Físicas</th>\n",
              "      <td>-0.03</td>\n",
              "      <td>-0.014</td>\n",
              "      <td>0.069</td>\n",
              "      <td>0.068</td>\n",
              "      <td>0.134</td>\n",
              "      <td>0.169636</td>\n",
              "      <td>0.186</td>\n",
              "      <td>0.201</td>\n",
              "      <td>0.213770</td>\n",
              "      <td>0.341440</td>\n",
              "      <td>0.240420</td>\n",
              "      <td>0.241680</td>\n",
              "      <td>0.159870</td>\n",
              "      <td>0.087500</td>\n",
              "      <td>0.190150</td>\n",
              "      <td>0.261270</td>\n",
              "      <td>0.067320</td>\n",
              "      <td>-0.451440</td>\n",
              "      <td>0.183080</td>\n",
              "      <td>0.157160</td>\n",
              "      <td>0.037490</td>\n",
              "      <td>1.115980</td>\n",
              "      <td>-0.079670</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Crescimento nas Vendas E-commerce (1P)</th>\n",
              "      <td>0.275</td>\n",
              "      <td>0.329</td>\n",
              "      <td>0.243</td>\n",
              "      <td>0.415</td>\n",
              "      <td>0.562</td>\n",
              "      <td>0.556312</td>\n",
              "      <td>0.546</td>\n",
              "      <td>0.47</td>\n",
              "      <td>0.537020</td>\n",
              "      <td>0.547780</td>\n",
              "      <td>0.437880</td>\n",
              "      <td>0.438120</td>\n",
              "      <td>0.333060</td>\n",
              "      <td>0.308610</td>\n",
              "      <td>0.663360</td>\n",
              "      <td>0.686440</td>\n",
              "      <td>0.475330</td>\n",
              "      <td>1.715060</td>\n",
              "      <td>1.495440</td>\n",
              "      <td>1.198150</td>\n",
              "      <td>1.215230</td>\n",
              "      <td>0.401290</td>\n",
              "      <td>0.067390</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Crescimento nas Vendas Marketplace (3P)</th>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>8.122340</td>\n",
              "      <td>4.088500</td>\n",
              "      <td>2.197250</td>\n",
              "      <td>204.819000</td>\n",
              "      <td>2.436180</td>\n",
              "      <td>2.886070</td>\n",
              "      <td>3.002530</td>\n",
              "      <td>2.164190</td>\n",
              "      <td>1.848040</td>\n",
              "      <td>2.141850</td>\n",
              "      <td>1.453820</td>\n",
              "      <td>1.229450</td>\n",
              "      <td>0.979800</td>\n",
              "      <td>0.632770</td>\n",
              "      <td>0.672880</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Crescimento nas Vendas E-commerce Total</th>\n",
              "      <td>0.275</td>\n",
              "      <td>0.329</td>\n",
              "      <td>0.245</td>\n",
              "      <td>0.42</td>\n",
              "      <td>0.585</td>\n",
              "      <td>0.607889</td>\n",
              "      <td>0.645</td>\n",
              "      <td>0.6</td>\n",
              "      <td>0.646220</td>\n",
              "      <td>0.661300</td>\n",
              "      <td>0.545800</td>\n",
              "      <td>0.573960</td>\n",
              "      <td>0.500840</td>\n",
              "      <td>0.561840</td>\n",
              "      <td>0.960100</td>\n",
              "      <td>0.927900</td>\n",
              "      <td>0.726040</td>\n",
              "      <td>1.819400</td>\n",
              "      <td>1.484660</td>\n",
              "      <td>1.206540</td>\n",
              "      <td>1.144280</td>\n",
              "      <td>0.464350</td>\n",
              "      <td>0.222290</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Participação E-commerce Total nas Vendas Totais</th>\n",
              "      <td>0.224</td>\n",
              "      <td>0.225</td>\n",
              "      <td>0.247</td>\n",
              "      <td>0.264</td>\n",
              "      <td>0.287</td>\n",
              "      <td>0.284985</td>\n",
              "      <td>0.313</td>\n",
              "      <td>0.323</td>\n",
              "      <td>0.353210</td>\n",
              "      <td>0.330480</td>\n",
              "      <td>0.362300</td>\n",
              "      <td>0.376950</td>\n",
              "      <td>0.414050</td>\n",
              "      <td>0.414840</td>\n",
              "      <td>0.483410</td>\n",
              "      <td>0.480450</td>\n",
              "      <td>0.532730</td>\n",
              "      <td>0.784650</td>\n",
              "      <td>0.662760</td>\n",
              "      <td>0.638110</td>\n",
              "      <td>0.702540</td>\n",
              "      <td>0.716040</td>\n",
              "      <td>0.723000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Quantidade de Lojas - Final do Período</th>\n",
              "      <td>785</td>\n",
              "      <td>786</td>\n",
              "      <td>790</td>\n",
              "      <td>799</td>\n",
              "      <td>803</td>\n",
              "      <td>813</td>\n",
              "      <td>829</td>\n",
              "      <td>857</td>\n",
              "      <td>857.000000</td>\n",
              "      <td>884.000000</td>\n",
              "      <td>912.000000</td>\n",
              "      <td>953.000000</td>\n",
              "      <td>958.000000</td>\n",
              "      <td>986.000000</td>\n",
              "      <td>1038.000000</td>\n",
              "      <td>1112.000000</td>\n",
              "      <td>1156.000000</td>\n",
              "      <td>1156.000000</td>\n",
              "      <td>1237.000000</td>\n",
              "      <td>1301.000000</td>\n",
              "      <td>1310.000000</td>\n",
              "      <td>1339.000000</td>\n",
              "      <td>1413.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Área de Vendas - Final do Período (M²)</th>\n",
              "      <td>498570</td>\n",
              "      <td>498870</td>\n",
              "      <td>500239</td>\n",
              "      <td>501319</td>\n",
              "      <td>503907</td>\n",
              "      <td>509909</td>\n",
              "      <td>516598</td>\n",
              "      <td>525981</td>\n",
              "      <td>526052.034000</td>\n",
              "      <td>538752.804000</td>\n",
              "      <td>551432.102000</td>\n",
              "      <td>572393.992000</td>\n",
              "      <td>574796.612000</td>\n",
              "      <td>585341.301550</td>\n",
              "      <td>612352.741550</td>\n",
              "      <td>648227.441550</td>\n",
              "      <td>647170.961550</td>\n",
              "      <td>647170.961550</td>\n",
              "      <td>656189.201550</td>\n",
              "      <td>666089.322000</td>\n",
              "      <td>670197.016000</td>\n",
              "      <td>674815.452000</td>\n",
              "      <td>700330.912000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                       1T16  ...           3T21\n",
              "R$ milhões (exceto quando indicado)                          ...               \n",
              "NaN                                                     NaN  ...            NaN\n",
              "Vendas Totais (incluindo marketplace)               2702.54  ...   13843.797000\n",
              "NaN                                                     NaN  ...            NaN\n",
              "Receita Bruta Total                                 2723.61  ...   10474.934000\n",
              "Receita Líquida Total                               2263.47  ...    8612.033000\n",
              "NaN                                                     NaN  ...            NaN\n",
              "Lucro Bruto                                         683.564  ...    1734.133000\n",
              "Margem Bruta                                       0.301998  ...       0.201362\n",
              "NaN                                                     NaN  ...            NaN\n",
              "EBITDA                                              144.115  ...     134.754000\n",
              "Margem EBITDA                                     0.0636698  ...       0.015647\n",
              "NaN                                                     NaN  ...            NaN\n",
              "EBITDA Ajustado                                     163.116  ...     351.038000\n",
              "Margem EBITDA Ajustado                            0.0720644  ...       0.040761\n",
              "NaN                                                     NaN  ...            NaN\n",
              "Lucro Líquido                                         5.254  ...     143.516000\n",
              "Margem Líquida                                   0.00232121  ...       0.016665\n",
              "NaN                                                     NaN  ...            NaN\n",
              "Lucro Líquido Ajustado                               17.795  ...      22.565000\n",
              "Margem Líquida Ajustada                          0.00786181  ...       0.002620\n",
              "NaN                                                     NaN  ...            NaN\n",
              "Crescimento nas Vendas Mesmas Lojas Físicas          -0.061  ...      -0.146080\n",
              "Crescimento nas Vendas Totais Lojas Físicas           -0.03  ...      -0.079670\n",
              "Crescimento nas Vendas E-commerce (1P)                0.275  ...       0.067390\n",
              "Crescimento nas Vendas Marketplace (3P)                   -  ...       0.672880\n",
              "Crescimento nas Vendas E-commerce Total               0.275  ...       0.222290\n",
              "Participação E-commerce Total nas Vendas Totais       0.224  ...       0.723000\n",
              "NaN                                                     NaN  ...            NaN\n",
              "Quantidade de Lojas - Final do Período                  785  ...    1413.000000\n",
              "Área de Vendas - Final do Período (M²)               498570  ...  700330.912000\n",
              "\n",
              "[30 rows x 23 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Ebitda vs Margem Ebtida, aqui temos a conclusão se a margem EBTIDA é ebtida/receita\n",
        "#tenho que a empresa está sendo menos eficiente operacionalmente e custos, mais necessariamente\n",
        "#despesas estão influenciando na queda da margem.\n",
        "\n",
        "#Avaliando o EBTIDA\n",
        "#O que é o EBTIDA - Earn before taxes interest depreciation and amortization, representa a receita referente\n",
        "#as operações da emrpesa, geração de caixa operacional da companhia\n",
        "#Ebtida vs Margem Ebtida\n",
        "\n",
        "fig = make_subplots(specs=[[{\"secondary_y\": True}]])\n",
        "fig.add_trace(go.Bar(x=indicadores.columns, y=indicadores.loc['EBITDA'],name='Ebtida', text=indicadores.loc['EBITDA']), secondary_y=False)\n",
        "fig.add_trace(go.Scatter(x=indicadores.columns, y=indicadores.loc['Margem EBITDA'],name='Margem Ebtida'), secondary_y=True)\n",
        "fig.update_layout(title_text='EBTIDA vs Margem Ebtida')\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "gaHw9sXZDWmN",
        "outputId": "f04556d5-b5c8-47c5-f6b1-1d27f56484a2"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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    {
      "cell_type": "code",
      "source": [
        "#Como se comportam Margem Líquida e Margem Ebtida, aqui temos o resultado de\n",
        "#receitas tributárias que foram contabilizadas no resultado e melhoraram a margem líquida\n",
        "#Margem líquida vs Margem Ebtida\n",
        "\n",
        "fig = go.Figure()\n",
        "fig.add_trace(go.Scatter(x=indicadores.columns, y=indicadores.loc['Margem EBITDA'],name='Margem Ebtida'))\n",
        "fig.add_trace(go.Scatter(x=indicadores.columns, y=indicadores.loc['Margem Líquida'], name='Margem Líquida'))\n",
        "fig.update_layout(title_text='Margem Ebitda vs Margem Liquida')\n",
        "fig.show()"
      ],
      "metadata": {
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          "base_uri": "https://localhost:8080/",
          "height": 542
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        "id": "e6Xu6CqwGHcG",
        "outputId": "02874ffb-9749-4880-e3d1-004a643c9542"
      },
      "execution_count": 16,
      "outputs": [
        {
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    {
      "cell_type": "markdown",
      "source": [
        "##4.2. Canais de Venda"
      ],
      "metadata": {
        "id": "eSfSUDXCP-7X"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Aqui entramos em um ponto mais estratégico, buscando enxergar em números as promessas da diretoria em relação a canais\n",
        "\n",
        "canais = pd.read_excel(io.BytesIO(uploaded['RESULTADO_3T21_POR.xlsx']), header=1, sheet_name=11)\n",
        "canais.set_index(canais['ABERTURA VENDAS TOTAIS'],inplace=True)\n",
        "\n",
        "canais"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "HGOksrH3IZOF",
        "outputId": "5dc759e1-85af-4228-8df1-b01359ee6d58"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ABERTURA VENDAS TOTAIS</th>\n",
              "      <th>1T16</th>\n",
              "      <th>2T16</th>\n",
              "      <th>3T16</th>\n",
              "      <th>4T16</th>\n",
              "      <th>1T17</th>\n",
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              "      <th>1T20</th>\n",
              "      <th>2T20</th>\n",
              "      <th>3T20</th>\n",
              "      <th>4T20</th>\n",
              "      <th>1T21</th>\n",
              "      <th>2T21</th>\n",
              "      <th>3T21</th>\n",
              "      <th>Unnamed: 24</th>\n",
              "      <th>2016</th>\n",
              "      <th>2017</th>\n",
              "      <th>2018</th>\n",
              "      <th>2019</th>\n",
              "      <th>2020</th>\n",
              "      <th>9M20</th>\n",
              "      <th>9M21</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ABERTURA VENDAS TOTAIS</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Lojas virtuais</th>\n",
              "      <td>Lojas virtuais</td>\n",
              "      <td>123.671</td>\n",
              "      <td>122.486</td>\n",
              "      <td>123.918</td>\n",
              "      <td>165.607</td>\n",
              "      <td>153.321</td>\n",
              "      <td>156.752</td>\n",
              "      <td>161.596</td>\n",
              "      <td>212.232</td>\n",
              "      <td>200.879</td>\n",
              "      <td>216.018</td>\n",
              "      <td>214.976</td>\n",
              "      <td>277.052</td>\n",
              "      <td>242.276</td>\n",
              "      <td>256.813</td>\n",
              "      <td>270.044</td>\n",
              "      <td>350.076</td>\n",
              "      <td>269.889</td>\n",
              "      <td>181.957</td>\n",
              "      <td>290.057</td>\n",
              "      <td>389.25</td>\n",
              "      <td>291.458</td>\n",
              "      <td>289.492</td>\n",
              "      <td>275.033</td>\n",
              "      <td>NaN</td>\n",
              "      <td>535.682000</td>\n",
              "      <td>683.901000</td>\n",
              "      <td>908.925105</td>\n",
              "      <td>1119.209000</td>\n",
              "      <td>1131.153</td>\n",
              "      <td>741.903</td>\n",
              "      <td>855.983</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lojas convencionais</th>\n",
              "      <td>Lojas convencionais</td>\n",
              "      <td>1974.22</td>\n",
              "      <td>1848.3</td>\n",
              "      <td>1888.45</td>\n",
              "      <td>2316.41</td>\n",
              "      <td>2226.55</td>\n",
              "      <td>2148.4</td>\n",
              "      <td>2224.07</td>\n",
              "      <td>2769.51</td>\n",
              "      <td>2687.77</td>\n",
              "      <td>2876.29</td>\n",
              "      <td>2744.26</td>\n",
              "      <td>3425.32</td>\n",
              "      <td>3108.18</td>\n",
              "      <td>3106.07</td>\n",
              "      <td>3251.88</td>\n",
              "      <td>4319.63</td>\n",
              "      <td>3306.1</td>\n",
              "      <td>1662.8</td>\n",
              "      <td>3876.67</td>\n",
              "      <td>5014.35</td>\n",
              "      <td>3418.61</td>\n",
              "      <td>3613.98</td>\n",
              "      <td>3559.72</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8027.385000</td>\n",
              "      <td>9368.546000</td>\n",
              "      <td>11733.635038</td>\n",
              "      <td>13785.766000</td>\n",
              "      <td>13859.919</td>\n",
              "      <td>8845.57</td>\n",
              "      <td>10592.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Subtotal - Lojas Físicas</th>\n",
              "      <td>Subtotal - Lojas Físicas</td>\n",
              "      <td>2097.9</td>\n",
              "      <td>1970.79</td>\n",
              "      <td>2012.36</td>\n",
              "      <td>2482.02</td>\n",
              "      <td>2379.88</td>\n",
              "      <td>2305.16</td>\n",
              "      <td>2385.67</td>\n",
              "      <td>2981.75</td>\n",
              "      <td>2888.65</td>\n",
              "      <td>3092.31</td>\n",
              "      <td>2959.23</td>\n",
              "      <td>3702.37</td>\n",
              "      <td>3350.45</td>\n",
              "      <td>3362.89</td>\n",
              "      <td>3521.93</td>\n",
              "      <td>4669.71</td>\n",
              "      <td>3575.99</td>\n",
              "      <td>1844.76</td>\n",
              "      <td>4166.72</td>\n",
              "      <td>5403.6</td>\n",
              "      <td>3710.07</td>\n",
              "      <td>3903.47</td>\n",
              "      <td>3834.76</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8563.067000</td>\n",
              "      <td>10052.447000</td>\n",
              "      <td>12642.560143</td>\n",
              "      <td>14904.975000</td>\n",
              "      <td>14991.072</td>\n",
              "      <td>9587.48</td>\n",
              "      <td>11448.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>E-commerce Tradicional (1P)</th>\n",
              "      <td>E-commerce Tradicional (1P)</td>\n",
              "      <td>604.645</td>\n",
              "      <td>571.428</td>\n",
              "      <td>660.279</td>\n",
              "      <td>886.455</td>\n",
              "      <td>944.464</td>\n",
              "      <td>889.357</td>\n",
              "      <td>1020.89</td>\n",
              "      <td>1303.07</td>\n",
              "      <td>1451.67</td>\n",
              "      <td>1376.48</td>\n",
              "      <td>1468.1</td>\n",
              "      <td>1873.93</td>\n",
              "      <td>1935.14</td>\n",
              "      <td>1801.27</td>\n",
              "      <td>2441.99</td>\n",
              "      <td>3160.28</td>\n",
              "      <td>2854.96</td>\n",
              "      <td>4890.62</td>\n",
              "      <td>6093.83</td>\n",
              "      <td>6946.78</td>\n",
              "      <td>6324.41</td>\n",
              "      <td>6853.19</td>\n",
              "      <td>6504.52</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2722.807000</td>\n",
              "      <td>4157.783000</td>\n",
              "      <td>6170.181102</td>\n",
              "      <td>9338.689173</td>\n",
              "      <td>20786.189</td>\n",
              "      <td>13839.4</td>\n",
              "      <td>19682.1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Marketplace (3P)*</th>\n",
              "      <td>Marketplace (3P)*</td>\n",
              "      <td>0</td>\n",
              "      <td>0.162</td>\n",
              "      <td>1.001</td>\n",
              "      <td>3.176</td>\n",
              "      <td>13.795</td>\n",
              "      <td>29.473</td>\n",
              "      <td>66.713</td>\n",
              "      <td>120.069</td>\n",
              "      <td>125.843</td>\n",
              "      <td>149.973</td>\n",
              "      <td>213.298</td>\n",
              "      <td>365.993</td>\n",
              "      <td>432.418</td>\n",
              "      <td>582.807</td>\n",
              "      <td>853.731</td>\n",
              "      <td>1158.07</td>\n",
              "      <td>1231.55</td>\n",
              "      <td>1831.1</td>\n",
              "      <td>2094.9</td>\n",
              "      <td>2581.86</td>\n",
              "      <td>2438.22</td>\n",
              "      <td>2989.75</td>\n",
              "      <td>3504.52</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.338846</td>\n",
              "      <td>230.048587</td>\n",
              "      <td>855.106921</td>\n",
              "      <td>3027.026829</td>\n",
              "      <td>7739.403</td>\n",
              "      <td>5157.54</td>\n",
              "      <td>8932.49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Subtotal - E-commerce Total</th>\n",
              "      <td>Subtotal - E-commerce Total</td>\n",
              "      <td>604.645</td>\n",
              "      <td>571.59</td>\n",
              "      <td>661.28</td>\n",
              "      <td>889.631</td>\n",
              "      <td>958.259</td>\n",
              "      <td>918.83</td>\n",
              "      <td>1087.6</td>\n",
              "      <td>1423.14</td>\n",
              "      <td>1577.51</td>\n",
              "      <td>1526.45</td>\n",
              "      <td>1681.4</td>\n",
              "      <td>2239.93</td>\n",
              "      <td>2367.56</td>\n",
              "      <td>2384.08</td>\n",
              "      <td>3295.72</td>\n",
              "      <td>4318.35</td>\n",
              "      <td>4086.51</td>\n",
              "      <td>6721.72</td>\n",
              "      <td>8188.73</td>\n",
              "      <td>9528.64</td>\n",
              "      <td>8762.63</td>\n",
              "      <td>9842.95</td>\n",
              "      <td>10009</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2727.145846</td>\n",
              "      <td>4387.831587</td>\n",
              "      <td>7025.288023</td>\n",
              "      <td>12365.716002</td>\n",
              "      <td>28525.592</td>\n",
              "      <td>18997</td>\n",
              "      <td>28614.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Vendas Totais</th>\n",
              "      <td>Vendas Totais</td>\n",
              "      <td>2702.54</td>\n",
              "      <td>2542.38</td>\n",
              "      <td>2673.64</td>\n",
              "      <td>3371.65</td>\n",
              "      <td>3338.13</td>\n",
              "      <td>3223.99</td>\n",
              "      <td>3473.27</td>\n",
              "      <td>4404.89</td>\n",
              "      <td>4466.15</td>\n",
              "      <td>4618.76</td>\n",
              "      <td>4640.63</td>\n",
              "      <td>5942.3</td>\n",
              "      <td>5718.01</td>\n",
              "      <td>5746.97</td>\n",
              "      <td>6817.65</td>\n",
              "      <td>8988.06</td>\n",
              "      <td>7662.5</td>\n",
              "      <td>8566.48</td>\n",
              "      <td>12355.5</td>\n",
              "      <td>14932.2</td>\n",
              "      <td>12472.7</td>\n",
              "      <td>13746.4</td>\n",
              "      <td>13843.8</td>\n",
              "      <td>NaN</td>\n",
              "      <td>11290.212846</td>\n",
              "      <td>14440.278587</td>\n",
              "      <td>19667.848166</td>\n",
              "      <td>27270.691002</td>\n",
              "      <td>43516.664</td>\n",
              "      <td>28584.4</td>\n",
              "      <td>40062.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Outras receitas¹</th>\n",
              "      <td>Outras receitas¹</td>\n",
              "      <td>9.683</td>\n",
              "      <td>7.659</td>\n",
              "      <td>9.155</td>\n",
              "      <td>11.175</td>\n",
              "      <td>13.511</td>\n",
              "      <td>8.602</td>\n",
              "      <td>8.627</td>\n",
              "      <td>21.554</td>\n",
              "      <td>9.56313</td>\n",
              "      <td>3.44208</td>\n",
              "      <td>1.721</td>\n",
              "      <td>3.266</td>\n",
              "      <td>3.263</td>\n",
              "      <td>2.636</td>\n",
              "      <td>2.22322</td>\n",
              "      <td>21.317</td>\n",
              "      <td>18.33</td>\n",
              "      <td>18.098</td>\n",
              "      <td>6.823</td>\n",
              "      <td>6.52</td>\n",
              "      <td>4.732</td>\n",
              "      <td>5.881</td>\n",
              "      <td>12.813</td>\n",
              "      <td>NaN</td>\n",
              "      <td>37.672000</td>\n",
              "      <td>52.294000</td>\n",
              "      <td>17.992207</td>\n",
              "      <td>29.439219</td>\n",
              "      <td>49.771</td>\n",
              "      <td>43.251</td>\n",
              "      <td>23.426</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Marketplace (3P)</th>\n",
              "      <td>Marketplace (3P)</td>\n",
              "      <td>0</td>\n",
              "      <td>-0.162</td>\n",
              "      <td>-1.001</td>\n",
              "      <td>-3.176</td>\n",
              "      <td>-13.795</td>\n",
              "      <td>-29.473</td>\n",
              "      <td>-66.713</td>\n",
              "      <td>-120.069</td>\n",
              "      <td>-125.843</td>\n",
              "      <td>-149.973</td>\n",
              "      <td>-213.298</td>\n",
              "      <td>-365.993</td>\n",
              "      <td>-432.418</td>\n",
              "      <td>-582.807</td>\n",
              "      <td>-853.731</td>\n",
              "      <td>-1158.07</td>\n",
              "      <td>-1231.55</td>\n",
              "      <td>-1831.1</td>\n",
              "      <td>-2094.9</td>\n",
              "      <td>-2581.86</td>\n",
              "      <td>-2438.22</td>\n",
              "      <td>-2989.75</td>\n",
              "      <td>-3504.52</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-4.339000</td>\n",
              "      <td>-230.050000</td>\n",
              "      <td>-855.106921</td>\n",
              "      <td>-3027.026829</td>\n",
              "      <td>-7739.403</td>\n",
              "      <td>-5157.54</td>\n",
              "      <td>-8932.49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Receita Bruta - Varejo</th>\n",
              "      <td>Receita Bruta - Varejo</td>\n",
              "      <td>2712.22</td>\n",
              "      <td>2549.87</td>\n",
              "      <td>2681.8</td>\n",
              "      <td>3379.65</td>\n",
              "      <td>3337.85</td>\n",
              "      <td>3203.11</td>\n",
              "      <td>3415.18</td>\n",
              "      <td>4306.37</td>\n",
              "      <td>4349.87</td>\n",
              "      <td>4472.23</td>\n",
              "      <td>4429.06</td>\n",
              "      <td>5579.57</td>\n",
              "      <td>5288.86</td>\n",
              "      <td>5166.8</td>\n",
              "      <td>5966.14</td>\n",
              "      <td>7851.31</td>\n",
              "      <td>6449.28</td>\n",
              "      <td>6753.48</td>\n",
              "      <td>10267.4</td>\n",
              "      <td>12356.9</td>\n",
              "      <td>10039.2</td>\n",
              "      <td>10762.5</td>\n",
              "      <td>10352.1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>11323.545846</td>\n",
              "      <td>14262.522587</td>\n",
              "      <td>18830.733452</td>\n",
              "      <td>24273.103392</td>\n",
              "      <td>35827.032</td>\n",
              "      <td>23470.1</td>\n",
              "      <td>31153.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>¹ Outras receitas estão compostas pelo Fundo Exclusivo</th>\n",
              "      <td>¹ Outras receitas estão compostas pelo Fundo E...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NÚMERO DE LOJAS POR CANAL</th>\n",
              "      <td>NÚMERO DE LOJAS POR CANAL</td>\n",
              "      <td>1T16</td>\n",
              "      <td>2T16</td>\n",
              "      <td>3T16</td>\n",
              "      <td>4T16</td>\n",
              "      <td>1T17</td>\n",
              "      <td>2T17</td>\n",
              "      <td>3T17</td>\n",
              "      <td>4T17</td>\n",
              "      <td>1T18</td>\n",
              "      <td>2T18</td>\n",
              "      <td>3T18</td>\n",
              "      <td>4T18</td>\n",
              "      <td>1T19</td>\n",
              "      <td>2T19</td>\n",
              "      <td>3T19</td>\n",
              "      <td>4T19</td>\n",
              "      <td>1T20</td>\n",
              "      <td>2T20</td>\n",
              "      <td>3T20</td>\n",
              "      <td>4T20</td>\n",
              "      <td>1T21</td>\n",
              "      <td>2T21</td>\n",
              "      <td>3T21</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2016.000000</td>\n",
              "      <td>2017.000000</td>\n",
              "      <td>2018.000000</td>\n",
              "      <td>2019.000000</td>\n",
              "      <td>2020.000</td>\n",
              "      <td>9M20</td>\n",
              "      <td>9M21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lojas virtuais</th>\n",
              "      <td>Lojas virtuais</td>\n",
              "      <td>114</td>\n",
              "      <td>114</td>\n",
              "      <td>115</td>\n",
              "      <td>120</td>\n",
              "      <td>120</td>\n",
              "      <td>123</td>\n",
              "      <td>128</td>\n",
              "      <td>141</td>\n",
              "      <td>141</td>\n",
              "      <td>148</td>\n",
              "      <td>152</td>\n",
              "      <td>162</td>\n",
              "      <td>163</td>\n",
              "      <td>176</td>\n",
              "      <td>183</td>\n",
              "      <td>195</td>\n",
              "      <td>195</td>\n",
              "      <td>195</td>\n",
              "      <td>196</td>\n",
              "      <td>205</td>\n",
              "      <td>207</td>\n",
              "      <td>209</td>\n",
              "      <td>219</td>\n",
              "      <td>NaN</td>\n",
              "      <td>120.000000</td>\n",
              "      <td>141.000000</td>\n",
              "      <td>162.000000</td>\n",
              "      <td>195.000000</td>\n",
              "      <td>205.000</td>\n",
              "      <td>196</td>\n",
              "      <td>219</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lojas convencionais</th>\n",
              "      <td>Lojas convencionais</td>\n",
              "      <td>671</td>\n",
              "      <td>672</td>\n",
              "      <td>675</td>\n",
              "      <td>679</td>\n",
              "      <td>683</td>\n",
              "      <td>690</td>\n",
              "      <td>701</td>\n",
              "      <td>716</td>\n",
              "      <td>716</td>\n",
              "      <td>736</td>\n",
              "      <td>760</td>\n",
              "      <td>791</td>\n",
              "      <td>795</td>\n",
              "      <td>810</td>\n",
              "      <td>855</td>\n",
              "      <td>912</td>\n",
              "      <td>910</td>\n",
              "      <td>910</td>\n",
              "      <td>925</td>\n",
              "      <td>942</td>\n",
              "      <td>949</td>\n",
              "      <td>959</td>\n",
              "      <td>1010</td>\n",
              "      <td>NaN</td>\n",
              "      <td>679.000000</td>\n",
              "      <td>716.000000</td>\n",
              "      <td>791.000000</td>\n",
              "      <td>912.000000</td>\n",
              "      <td>942.000</td>\n",
              "      <td>925</td>\n",
              "      <td>1010</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Quiosques</th>\n",
              "      <td>Quiosques</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>51</td>\n",
              "      <td>51</td>\n",
              "      <td>116</td>\n",
              "      <td>154</td>\n",
              "      <td>154</td>\n",
              "      <td>171</td>\n",
              "      <td>184</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>154.000</td>\n",
              "      <td>116</td>\n",
              "      <td>184</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total</th>\n",
              "      <td>Total</td>\n",
              "      <td>785</td>\n",
              "      <td>786</td>\n",
              "      <td>790</td>\n",
              "      <td>799</td>\n",
              "      <td>803</td>\n",
              "      <td>813</td>\n",
              "      <td>829</td>\n",
              "      <td>857</td>\n",
              "      <td>857</td>\n",
              "      <td>884</td>\n",
              "      <td>912</td>\n",
              "      <td>953</td>\n",
              "      <td>958</td>\n",
              "      <td>986</td>\n",
              "      <td>1038</td>\n",
              "      <td>1112</td>\n",
              "      <td>1156</td>\n",
              "      <td>1156</td>\n",
              "      <td>1237</td>\n",
              "      <td>1301</td>\n",
              "      <td>1310</td>\n",
              "      <td>1339</td>\n",
              "      <td>1413</td>\n",
              "      <td>NaN</td>\n",
              "      <td>799.000000</td>\n",
              "      <td>857.000000</td>\n",
              "      <td>953.000000</td>\n",
              "      <td>1112.000000</td>\n",
              "      <td>1301.000</td>\n",
              "      <td>1237</td>\n",
              "      <td>1413</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Área total de vendas (m²):</th>\n",
              "      <td>Área total de vendas (m²):</td>\n",
              "      <td>498570</td>\n",
              "      <td>498871</td>\n",
              "      <td>500239</td>\n",
              "      <td>501319</td>\n",
              "      <td>503907</td>\n",
              "      <td>509909</td>\n",
              "      <td>516598</td>\n",
              "      <td>525981</td>\n",
              "      <td>526052</td>\n",
              "      <td>538753</td>\n",
              "      <td>551432</td>\n",
              "      <td>572394</td>\n",
              "      <td>574797</td>\n",
              "      <td>585341</td>\n",
              "      <td>612353</td>\n",
              "      <td>648227</td>\n",
              "      <td>647171</td>\n",
              "      <td>647171</td>\n",
              "      <td>656189</td>\n",
              "      <td>666089</td>\n",
              "      <td>670197</td>\n",
              "      <td>674815</td>\n",
              "      <td>700331</td>\n",
              "      <td>NaN</td>\n",
              "      <td>501319.000000</td>\n",
              "      <td>525981.314000</td>\n",
              "      <td>572393.992000</td>\n",
              "      <td>648227.441550</td>\n",
              "      <td>666089.322</td>\n",
              "      <td>656189</td>\n",
              "      <td>700331</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                                               ABERTURA VENDAS TOTAIS  ...     9M21\n",
              "ABERTURA VENDAS TOTAIS                                                                                 ...         \n",
              "     Lojas virtuais                                                                    Lojas virtuais  ...  855.983\n",
              "     Lojas convencionais                                                          Lojas convencionais  ...  10592.3\n",
              "Subtotal - Lojas Físicas                                                     Subtotal - Lojas Físicas  ...  11448.3\n",
              "     E-commerce Tradicional (1P)                                          E-commerce Tradicional (1P)  ...  19682.1\n",
              "     Marketplace (3P)*                                                              Marketplace (3P)*  ...  8932.49\n",
              "Subtotal - E-commerce Total                                               Subtotal - E-commerce Total  ...  28614.6\n",
              "Vendas Totais                                                                           Vendas Totais  ...  40062.9\n",
              "NaN                                                                                               NaN  ...      NaN\n",
              "     Outras receitas¹                                                                Outras receitas¹  ...   23.426\n",
              "     Marketplace (3P)                                                                Marketplace (3P)  ... -8932.49\n",
              "Receita Bruta - Varejo                                                         Receita Bruta - Varejo  ...  31153.8\n",
              "NaN                                                                                               NaN  ...      NaN\n",
              "¹ Outras receitas estão compostas pelo Fundo Ex...  ¹ Outras receitas estão compostas pelo Fundo E...  ...      NaN\n",
              "NaN                                                                                               NaN  ...      NaN\n",
              "NaN                                                                                               NaN  ...      NaN\n",
              "NaN                                                                                               NaN  ...      NaN\n",
              "NÚMERO DE LOJAS POR CANAL                                                   NÚMERO DE LOJAS POR CANAL  ...     9M21\n",
              "Lojas virtuais                                                                         Lojas virtuais  ...      219\n",
              "Lojas convencionais                                                               Lojas convencionais  ...     1010\n",
              "Quiosques                                                                                   Quiosques  ...      184\n",
              "Total                                                                                           Total  ...     1413\n",
              "NaN                                                                                               NaN  ...      NaN\n",
              "Área total de vendas (m²):                                                 Área total de vendas (m²):  ...   700331\n",
              "\n",
              "[23 rows x 32 columns]"
            ]
          },
          "metadata": {},
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        "fig.add_trace(go.Scatter(x=indicadores.columns, y=canais.loc['Subtotal - Lojas Físicas'],name='Lojas Físicas', ))\n",
        "fig.add_trace(go.Scatter(x=indicadores.columns, y=canais.loc['     E-commerce Tradicional (1P)'], name='1P'))\n",
        "fig.add_trace(go.Scatter(x=indicadores.columns, y=canais.loc['     Marketplace (3P)*'], name='3P'))\n",
        "fig.update_layout(title_text='Vendas Por canal')\n",
        "fig.show()"
      ],
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    {
      "cell_type": "markdown",
      "source": [
        "##4.3. Estrutura de Capital"
      ],
      "metadata": {
        "id": "8HQIrpG-QCMI"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Vamos entender o perfil de endividamento\n",
        "\n",
        "#Tabela Estrutura de Capital\n",
        "\n",
        "estrutura_capital = pd.read_excel(io.BytesIO(uploaded['RESULTADO_3T21_POR.xlsx']),header=1, sheet_name=5)\n",
        "estrutura_capital.set_index(estrutura_capital['ESTRUTURA DE CAPITAL (em R$ milhões)'],inplace=True)\n",
        "estrutura_capital"
      ],
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        "id": "2uJjD_qIHuzD",
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      "execution_count": null,
      "outputs": [
        {
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              "      <th>ESTRUTURA DE CAPITAL (em R$ milhões)</th>\n",
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              "      <th>2020-12-02 00:00:00</th>\n",
              "      <th>2021-03-03 00:00:00</th>\n",
              "      <th>2021-06-04 00:00:00</th>\n",
              "      <th>2021-09-05 00:00:00</th>\n",
              "      <th>Unnamed: 24</th>\n",
              "      <th>2016-12-31 00:00:00.1</th>\n",
              "      <th>2017-12-31 00:00:00.1</th>\n",
              "      <th>2018-12-31 00:00:00.1</th>\n",
              "      <th>2019-12-30 00:00:00.1</th>\n",
              "      <th>2020-12-02 00:00:00.1</th>\n",
              "      <th>2020-09-01 00:00:00.1</th>\n",
              "      <th>2021-09-05 00:00:00.1</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ESTRUTURA DE CAPITAL (em R$ milhões)</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>(-) Empréstimos e Financiamentos Circulante</th>\n",
              "      <td>(-) Empréstimos e Financiamentos Circulante</td>\n",
              "      <td>-713.615000</td>\n",
              "      <td>-902.261000</td>\n",
              "      <td>-980.867000</td>\n",
              "      <td>-838.016000</td>\n",
              "      <td>-688.280000</td>\n",
              "      <td>-718.65000</td>\n",
              "      <td>-720.466000</td>\n",
              "      <td>-434.294000</td>\n",
              "      <td>-381.416000</td>\n",
              "      <td>-254.504000</td>\n",
              "      <td>-252.410000</td>\n",
              "      <td>-130.743000</td>\n",
              "      <td>-128.911000</td>\n",
              "      <td>-43.258000</td>\n",
              "      <td>-313.387000</td>\n",
              "      <td>-9.967000</td>\n",
              "      <td>-6.477000</td>\n",
              "      <td>-1650.780000</td>\n",
              "      <td>-1658.983000</td>\n",
              "      <td>-1667.181000</td>\n",
              "      <td>-847.484000</td>\n",
              "      <td>-11.990000</td>\n",
              "      <td>-12.412000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-838.016000</td>\n",
              "      <td>-434.294000</td>\n",
              "      <td>-130.743000</td>\n",
              "      <td>-9.967000</td>\n",
              "      <td>-1667.181000</td>\n",
              "      <td>-1658.983000</td>\n",
              "      <td>-12.412000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>(-) Empréstimos e Financiamentos não Circulante</th>\n",
              "      <td>(-) Empréstimos e Financiamentos não Circulante</td>\n",
              "      <td>-1050.494000</td>\n",
              "      <td>-794.433000</td>\n",
              "      <td>-773.336000</td>\n",
              "      <td>-1010.760000</td>\n",
              "      <td>-889.890000</td>\n",
              "      <td>-662.99600</td>\n",
              "      <td>-886.451000</td>\n",
              "      <td>-437.204000</td>\n",
              "      <td>-437.359000</td>\n",
              "      <td>-327.383000</td>\n",
              "      <td>-325.406000</td>\n",
              "      <td>-325.224000</td>\n",
              "      <td>-321.605000</td>\n",
              "      <td>-1120.409000</td>\n",
              "      <td>-832.697000</td>\n",
              "      <td>-838.862000</td>\n",
              "      <td>-847.372000</td>\n",
              "      <td>-14.000000</td>\n",
              "      <td>-16.612000</td>\n",
              "      <td>-19.581000</td>\n",
              "      <td>-822.294000</td>\n",
              "      <td>-2319.897000</td>\n",
              "      <td>-2339.623000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-1010.760000</td>\n",
              "      <td>-437.204000</td>\n",
              "      <td>-325.224000</td>\n",
              "      <td>-838.862000</td>\n",
              "      <td>-19.581000</td>\n",
              "      <td>-16.612000</td>\n",
              "      <td>-2339.623000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>(=) Endividamento Bruto</th>\n",
              "      <td>(=) Endividamento Bruto</td>\n",
              "      <td>-1764.109000</td>\n",
              "      <td>-1696.694000</td>\n",
              "      <td>-1754.203000</td>\n",
              "      <td>-1848.776000</td>\n",
              "      <td>-1578.170000</td>\n",
              "      <td>-1381.64600</td>\n",
              "      <td>-1606.917000</td>\n",
              "      <td>-871.498000</td>\n",
              "      <td>-818.775000</td>\n",
              "      <td>-581.887000</td>\n",
              "      <td>-577.816000</td>\n",
              "      <td>-455.967000</td>\n",
              "      <td>-450.516000</td>\n",
              "      <td>-1163.667000</td>\n",
              "      <td>-1146.084000</td>\n",
              "      <td>-848.829000</td>\n",
              "      <td>-853.849000</td>\n",
              "      <td>-1664.780000</td>\n",
              "      <td>-1675.595000</td>\n",
              "      <td>-1686.762000</td>\n",
              "      <td>-1669.778000</td>\n",
              "      <td>-2331.887000</td>\n",
              "      <td>-2352.035000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-1848.776000</td>\n",
              "      <td>-871.498000</td>\n",
              "      <td>-455.967000</td>\n",
              "      <td>-848.829000</td>\n",
              "      <td>-1686.762000</td>\n",
              "      <td>-1675.595000</td>\n",
              "      <td>-2352.035000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>(+) Caixa e Equivalentes de Caixa</th>\n",
              "      <td>(+) Caixa e Equivalentes de Caixa</td>\n",
              "      <td>411.265000</td>\n",
              "      <td>197.501000</td>\n",
              "      <td>234.560000</td>\n",
              "      <td>599.141000</td>\n",
              "      <td>255.085000</td>\n",
              "      <td>265.06100</td>\n",
              "      <td>178.625000</td>\n",
              "      <td>412.707000</td>\n",
              "      <td>775.152000</td>\n",
              "      <td>680.451000</td>\n",
              "      <td>419.013000</td>\n",
              "      <td>599.087000</td>\n",
              "      <td>293.189000</td>\n",
              "      <td>625.705000</td>\n",
              "      <td>221.794000</td>\n",
              "      <td>305.746000</td>\n",
              "      <td>388.904000</td>\n",
              "      <td>1103.523000</td>\n",
              "      <td>1190.439000</td>\n",
              "      <td>1681.376000</td>\n",
              "      <td>639.869000</td>\n",
              "      <td>1288.341000</td>\n",
              "      <td>751.223000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>599.141000</td>\n",
              "      <td>412.707000</td>\n",
              "      <td>599.087000</td>\n",
              "      <td>305.746000</td>\n",
              "      <td>1681.376000</td>\n",
              "      <td>1190.439000</td>\n",
              "      <td>751.223000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>(+) Títulos e Valores Mobiliários Circulante</th>\n",
              "      <td>(+) Títulos e Valores Mobiliários Circulante</td>\n",
              "      <td>302.246000</td>\n",
              "      <td>464.845000</td>\n",
              "      <td>566.954000</td>\n",
              "      <td>818.984000</td>\n",
              "      <td>521.375000</td>\n",
              "      <td>596.98200</td>\n",
              "      <td>1043.666000</td>\n",
              "      <td>1259.553000</td>\n",
              "      <td>299.345000</td>\n",
              "      <td>182.840000</td>\n",
              "      <td>253.756000</td>\n",
              "      <td>409.111000</td>\n",
              "      <td>217.285000</td>\n",
              "      <td>441.096000</td>\n",
              "      <td>238.717000</td>\n",
              "      <td>4448.158000</td>\n",
              "      <td>2231.269000</td>\n",
              "      <td>1878.803000</td>\n",
              "      <td>1725.599000</td>\n",
              "      <td>1221.779000</td>\n",
              "      <td>745.394000</td>\n",
              "      <td>468.466000</td>\n",
              "      <td>1354.190000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>818.984000</td>\n",
              "      <td>1259.553000</td>\n",
              "      <td>409.111000</td>\n",
              "      <td>4448.158000</td>\n",
              "      <td>1221.779000</td>\n",
              "      <td>1725.599000</td>\n",
              "      <td>1354.190000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>(+) Títulos e Valores Mobiliários não Circulante</th>\n",
              "      <td>(+) Títulos e Valores Mobiliários não Circulante</td>\n",
              "      <td>7.798000</td>\n",
              "      <td>0.148000</td>\n",
              "      <td>2.803000</td>\n",
              "      <td>0.171000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.214000</td>\n",
              "      <td>0.214000</td>\n",
              "      <td>0.264000</td>\n",
              "      <td>0.264000</td>\n",
              "      <td>0.214000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.171000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.214000</td>\n",
              "      <td>0.214000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>(+) Caixa e Aplicações Financeiras</th>\n",
              "      <td>(+) Caixa e Aplicações Financeiras</td>\n",
              "      <td>721.309000</td>\n",
              "      <td>662.494000</td>\n",
              "      <td>804.317000</td>\n",
              "      <td>1418.296000</td>\n",
              "      <td>776.460000</td>\n",
              "      <td>862.04300</td>\n",
              "      <td>1222.291000</td>\n",
              "      <td>1672.260000</td>\n",
              "      <td>1074.497000</td>\n",
              "      <td>863.291000</td>\n",
              "      <td>672.769000</td>\n",
              "      <td>1008.412000</td>\n",
              "      <td>510.688000</td>\n",
              "      <td>1067.065000</td>\n",
              "      <td>460.775000</td>\n",
              "      <td>4754.118000</td>\n",
              "      <td>2620.173000</td>\n",
              "      <td>2982.326000</td>\n",
              "      <td>2916.038000</td>\n",
              "      <td>2903.155000</td>\n",
              "      <td>1385.263000</td>\n",
              "      <td>1756.807000</td>\n",
              "      <td>2105.413000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1418.296000</td>\n",
              "      <td>1672.260000</td>\n",
              "      <td>1008.412000</td>\n",
              "      <td>4754.118000</td>\n",
              "      <td>2903.155000</td>\n",
              "      <td>2916.038000</td>\n",
              "      <td>2105.413000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>(=) Caixa Líquido</th>\n",
              "      <td>(=) Caixa Líquido</td>\n",
              "      <td>-1042.800000</td>\n",
              "      <td>-1034.200000</td>\n",
              "      <td>-949.886000</td>\n",
              "      <td>-430.480000</td>\n",
              "      <td>-801.710000</td>\n",
              "      <td>-519.60300</td>\n",
              "      <td>-384.626000</td>\n",
              "      <td>800.762000</td>\n",
              "      <td>255.722000</td>\n",
              "      <td>281.404000</td>\n",
              "      <td>94.953000</td>\n",
              "      <td>552.445000</td>\n",
              "      <td>60.172000</td>\n",
              "      <td>-96.602000</td>\n",
              "      <td>-685.309000</td>\n",
              "      <td>3905.289000</td>\n",
              "      <td>1766.324000</td>\n",
              "      <td>1317.546000</td>\n",
              "      <td>1240.443000</td>\n",
              "      <td>1216.393000</td>\n",
              "      <td>-284.515000</td>\n",
              "      <td>-575.080000</td>\n",
              "      <td>-246.622000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-430.480000</td>\n",
              "      <td>800.762000</td>\n",
              "      <td>552.445000</td>\n",
              "      <td>3905.289000</td>\n",
              "      <td>1216.393000</td>\n",
              "      <td>1240.443000</td>\n",
              "      <td>-246.622000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>(+) Cartões de Crédito - Terceiros</th>\n",
              "      <td>(+) Cartões de Crédito - Terceiros</td>\n",
              "      <td>176.063000</td>\n",
              "      <td>174.859000</td>\n",
              "      <td>186.983000</td>\n",
              "      <td>276.206000</td>\n",
              "      <td>342.390000</td>\n",
              "      <td>240.62700</td>\n",
              "      <td>333.118000</td>\n",
              "      <td>820.267000</td>\n",
              "      <td>992.543000</td>\n",
              "      <td>1018.947000</td>\n",
              "      <td>1120.202000</td>\n",
              "      <td>1492.316000</td>\n",
              "      <td>1146.783000</td>\n",
              "      <td>817.235000</td>\n",
              "      <td>1141.985000</td>\n",
              "      <td>2121.008000</td>\n",
              "      <td>1365.742000</td>\n",
              "      <td>3705.308000</td>\n",
              "      <td>3327.551000</td>\n",
              "      <td>3847.324000</td>\n",
              "      <td>2891.022000</td>\n",
              "      <td>2610.054000</td>\n",
              "      <td>4187.284000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>276.206000</td>\n",
              "      <td>820.267000</td>\n",
              "      <td>1492.316000</td>\n",
              "      <td>2121.008000</td>\n",
              "      <td>3847.324000</td>\n",
              "      <td>3327.551000</td>\n",
              "      <td>4187.284000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>(+) Cartão de Crédito - Luizacred</th>\n",
              "      <td>(+) Cartão de Crédito - Luizacred</td>\n",
              "      <td>8.055000</td>\n",
              "      <td>5.050000</td>\n",
              "      <td>12.576000</td>\n",
              "      <td>18.646000</td>\n",
              "      <td>15.653000</td>\n",
              "      <td>11.35400</td>\n",
              "      <td>22.773000</td>\n",
              "      <td>42.338000</td>\n",
              "      <td>35.930000</td>\n",
              "      <td>44.325000</td>\n",
              "      <td>98.758000</td>\n",
              "      <td>106.687000</td>\n",
              "      <td>175.897000</td>\n",
              "      <td>68.172000</td>\n",
              "      <td>157.432000</td>\n",
              "      <td>269.485000</td>\n",
              "      <td>649.158000</td>\n",
              "      <td>782.554000</td>\n",
              "      <td>1308.333000</td>\n",
              "      <td>2249.014000</td>\n",
              "      <td>1614.925000</td>\n",
              "      <td>1729.020000</td>\n",
              "      <td>2819.796000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>18.646000</td>\n",
              "      <td>42.338000</td>\n",
              "      <td>106.687000</td>\n",
              "      <td>269.485000</td>\n",
              "      <td>2249.014000</td>\n",
              "      <td>1308.333000</td>\n",
              "      <td>2819.796000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>(+) Contas a Receber - Cartões de Crédito</th>\n",
              "      <td>(+) Contas a Receber - Cartões de Crédito</td>\n",
              "      <td>184.118000</td>\n",
              "      <td>179.909000</td>\n",
              "      <td>199.559000</td>\n",
              "      <td>294.852000</td>\n",
              "      <td>358.043000</td>\n",
              "      <td>251.98100</td>\n",
              "      <td>355.891000</td>\n",
              "      <td>862.605000</td>\n",
              "      <td>1028.473000</td>\n",
              "      <td>1063.272000</td>\n",
              "      <td>1218.960000</td>\n",
              "      <td>1599.003000</td>\n",
              "      <td>1322.680000</td>\n",
              "      <td>885.407000</td>\n",
              "      <td>1299.417000</td>\n",
              "      <td>2390.493000</td>\n",
              "      <td>2014.900000</td>\n",
              "      <td>4487.862000</td>\n",
              "      <td>4635.884000</td>\n",
              "      <td>6096.338000</td>\n",
              "      <td>4505.947000</td>\n",
              "      <td>4339.074000</td>\n",
              "      <td>7007.080000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>294.852000</td>\n",
              "      <td>862.605000</td>\n",
              "      <td>1599.003000</td>\n",
              "      <td>2390.493000</td>\n",
              "      <td>6096.338000</td>\n",
              "      <td>4635.884000</td>\n",
              "      <td>7007.080000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>(=) Caixa Líquido Ajustado</th>\n",
              "      <td>(=) Caixa Líquido Ajustado</td>\n",
              "      <td>-858.682000</td>\n",
              "      <td>-854.291000</td>\n",
              "      <td>-750.327000</td>\n",
              "      <td>-135.628000</td>\n",
              "      <td>-443.667000</td>\n",
              "      <td>-267.62200</td>\n",
              "      <td>-28.735000</td>\n",
              "      <td>1663.367000</td>\n",
              "      <td>1284.195000</td>\n",
              "      <td>1344.676000</td>\n",
              "      <td>1313.913000</td>\n",
              "      <td>2151.448000</td>\n",
              "      <td>1382.852000</td>\n",
              "      <td>788.805000</td>\n",
              "      <td>614.108000</td>\n",
              "      <td>6295.782000</td>\n",
              "      <td>3781.224000</td>\n",
              "      <td>5805.408000</td>\n",
              "      <td>5876.327000</td>\n",
              "      <td>7312.731000</td>\n",
              "      <td>4221.432000</td>\n",
              "      <td>3763.994000</td>\n",
              "      <td>6760.458000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-135.628000</td>\n",
              "      <td>1663.367000</td>\n",
              "      <td>2151.448000</td>\n",
              "      <td>6295.782000</td>\n",
              "      <td>7312.731000</td>\n",
              "      <td>5876.327000</td>\n",
              "      <td>6760.458000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Endividamento de Curto Prazo / Total</th>\n",
              "      <td>Endividamento de Curto Prazo / Total</td>\n",
              "      <td>0.404519</td>\n",
              "      <td>0.531776</td>\n",
              "      <td>0.559153</td>\n",
              "      <td>0.453282</td>\n",
              "      <td>0.436125</td>\n",
              "      <td>0.52014</td>\n",
              "      <td>0.448353</td>\n",
              "      <td>0.498330</td>\n",
              "      <td>0.465837</td>\n",
              "      <td>0.437377</td>\n",
              "      <td>0.436835</td>\n",
              "      <td>0.286738</td>\n",
              "      <td>0.286141</td>\n",
              "      <td>0.037174</td>\n",
              "      <td>0.273442</td>\n",
              "      <td>0.011742</td>\n",
              "      <td>0.007586</td>\n",
              "      <td>0.991590</td>\n",
              "      <td>0.990086</td>\n",
              "      <td>0.988391</td>\n",
              "      <td>0.507543</td>\n",
              "      <td>0.005142</td>\n",
              "      <td>0.005277</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.453282</td>\n",
              "      <td>0.498330</td>\n",
              "      <td>0.286738</td>\n",
              "      <td>0.011742</td>\n",
              "      <td>0.988391</td>\n",
              "      <td>0.990086</td>\n",
              "      <td>0.005277</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Endividamento de Longo Prazo / Total</th>\n",
              "      <td>Endividamento de Longo Prazo / Total</td>\n",
              "      <td>0.595481</td>\n",
              "      <td>0.468224</td>\n",
              "      <td>0.440847</td>\n",
              "      <td>0.546718</td>\n",
              "      <td>0.563875</td>\n",
              "      <td>0.47986</td>\n",
              "      <td>0.551647</td>\n",
              "      <td>0.501670</td>\n",
              "      <td>0.534163</td>\n",
              "      <td>0.562623</td>\n",
              "      <td>0.563165</td>\n",
              "      <td>0.713262</td>\n",
              "      <td>0.713859</td>\n",
              "      <td>0.962826</td>\n",
              "      <td>0.726558</td>\n",
              "      <td>0.988258</td>\n",
              "      <td>0.992414</td>\n",
              "      <td>0.008410</td>\n",
              "      <td>0.009914</td>\n",
              "      <td>0.011609</td>\n",
              "      <td>0.492457</td>\n",
              "      <td>0.994858</td>\n",
              "      <td>0.994723</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.546718</td>\n",
              "      <td>0.501670</td>\n",
              "      <td>0.713262</td>\n",
              "      <td>0.988258</td>\n",
              "      <td>0.011609</td>\n",
              "      <td>0.009914</td>\n",
              "      <td>0.994723</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>EBITDA Ajustado (Últimos 12 Meses)</th>\n",
              "      <td>EBITDA Ajustado (Últimos 12 Meses)</td>\n",
              "      <td>523.259000</td>\n",
              "      <td>559.308000</td>\n",
              "      <td>626.703000</td>\n",
              "      <td>741.721000</td>\n",
              "      <td>811.048000</td>\n",
              "      <td>879.70000</td>\n",
              "      <td>949.468000</td>\n",
              "      <td>1032.882000</td>\n",
              "      <td>1103.109000</td>\n",
              "      <td>1181.148000</td>\n",
              "      <td>1201.203000</td>\n",
              "      <td>1268.711000</td>\n",
              "      <td>1328.948000</td>\n",
              "      <td>1395.247728</td>\n",
              "      <td>1511.772000</td>\n",
              "      <td>1659.719000</td>\n",
              "      <td>1548.025000</td>\n",
              "      <td>1314.743272</td>\n",
              "      <td>1478.400000</td>\n",
              "      <td>1506.042000</td>\n",
              "      <td>1659.344000</td>\n",
              "      <td>1967.545000</td>\n",
              "      <td>1757.770000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>741.721000</td>\n",
              "      <td>1032.882000</td>\n",
              "      <td>1268.711000</td>\n",
              "      <td>1659.719000</td>\n",
              "      <td>1506.042000</td>\n",
              "      <td>1478.400000</td>\n",
              "      <td>1757.770000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Caixa Líquido Ajustado / EBITDA Ajustado</th>\n",
              "      <td>Caixa Líquido Ajustado / EBITDA Ajustado</td>\n",
              "      <td>-1.641027</td>\n",
              "      <td>-1.527407</td>\n",
              "      <td>-1.197261</td>\n",
              "      <td>-0.182856</td>\n",
              "      <td>-0.547029</td>\n",
              "      <td>-0.30422</td>\n",
              "      <td>-0.030264</td>\n",
              "      <td>1.610413</td>\n",
              "      <td>1.164160</td>\n",
              "      <td>1.138448</td>\n",
              "      <td>1.093831</td>\n",
              "      <td>1.695775</td>\n",
              "      <td>1.040561</td>\n",
              "      <td>0.565351</td>\n",
              "      <td>0.406217</td>\n",
              "      <td>3.793282</td>\n",
              "      <td>2.442612</td>\n",
              "      <td>4.415621</td>\n",
              "      <td>3.974788</td>\n",
              "      <td>4.855596</td>\n",
              "      <td>2.544037</td>\n",
              "      <td>1.913041</td>\n",
              "      <td>3.846042</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.182856</td>\n",
              "      <td>1.610413</td>\n",
              "      <td>1.695775</td>\n",
              "      <td>3.793282</td>\n",
              "      <td>4.855596</td>\n",
              "      <td>3.974788</td>\n",
              "      <td>3.846042</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Caixa, Aplicações e Cartões de Crédito</th>\n",
              "      <td>Caixa, Aplicações e Cartões de Crédito</td>\n",
              "      <td>905.427000</td>\n",
              "      <td>842.403000</td>\n",
              "      <td>1003.876000</td>\n",
              "      <td>1713.148000</td>\n",
              "      <td>1134.503000</td>\n",
              "      <td>1114.02400</td>\n",
              "      <td>1578.182000</td>\n",
              "      <td>2534.865000</td>\n",
              "      <td>2102.970000</td>\n",
              "      <td>1926.563000</td>\n",
              "      <td>1891.729000</td>\n",
              "      <td>2607.415000</td>\n",
              "      <td>1833.368000</td>\n",
              "      <td>1952.472000</td>\n",
              "      <td>1760.192000</td>\n",
              "      <td>7144.611000</td>\n",
              "      <td>4635.073000</td>\n",
              "      <td>7470.188000</td>\n",
              "      <td>7551.922000</td>\n",
              "      <td>8999.493000</td>\n",
              "      <td>5891.210000</td>\n",
              "      <td>6095.881000</td>\n",
              "      <td>9112.493000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1713.148000</td>\n",
              "      <td>2534.865000</td>\n",
              "      <td>2607.415000</td>\n",
              "      <td>7144.611000</td>\n",
              "      <td>8999.493000</td>\n",
              "      <td>7551.922000</td>\n",
              "      <td>9112.493000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                              ESTRUTURA DE CAPITAL (em R$ milhões)  ...  2021-09-05 00:00:00.1\n",
              "ESTRUTURA DE CAPITAL (em R$ milhões)                                                                ...                       \n",
              "NaN                                                                                            NaN  ...                    NaN\n",
              "(-) Empréstimos e Financiamentos Circulante            (-) Empréstimos e Financiamentos Circulante  ...             -12.412000\n",
              "(-) Empréstimos e Financiamentos não Circulante    (-) Empréstimos e Financiamentos não Circulante  ...           -2339.623000\n",
              "(=) Endividamento Bruto                                                   (=) Endividamento Bruto   ...           -2352.035000\n",
              "NaN                                                                                            NaN  ...                    NaN\n",
              "(+) Caixa e Equivalentes de Caixa                                (+) Caixa e Equivalentes de Caixa  ...             751.223000\n",
              "(+) Títulos e Valores Mobiliários Circulante          (+) Títulos e Valores Mobiliários Circulante  ...            1354.190000\n",
              "(+) Títulos e Valores Mobiliários não Circulante  (+) Títulos e Valores Mobiliários não Circulante  ...               0.000000\n",
              "(+) Caixa e Aplicações Financeiras                              (+) Caixa e Aplicações Financeiras  ...            2105.413000\n",
              "NaN                                                                                            NaN  ...                    NaN\n",
              "(=) Caixa Líquido                                                                (=) Caixa Líquido  ...            -246.622000\n",
              "NaN                                                                                            NaN  ...                    NaN\n",
              "(+) Cartões de Crédito - Terceiros                              (+) Cartões de Crédito - Terceiros  ...            4187.284000\n",
              "(+) Cartão de Crédito - Luizacred                                (+) Cartão de Crédito - Luizacred  ...            2819.796000\n",
              "(+) Contas a Receber - Cartões de Crédito                (+) Contas a Receber - Cartões de Crédito  ...            7007.080000\n",
              "NaN                                                                                            NaN  ...                    NaN\n",
              "(=) Caixa Líquido Ajustado                                              (=) Caixa Líquido Ajustado  ...            6760.458000\n",
              "NaN                                                                                            NaN  ...                    NaN\n",
              "Endividamento de Curto Prazo / Total                          Endividamento de Curto Prazo / Total  ...               0.005277\n",
              "Endividamento de Longo Prazo / Total                          Endividamento de Longo Prazo / Total  ...               0.994723\n",
              "EBITDA Ajustado (Últimos 12 Meses)                              EBITDA Ajustado (Últimos 12 Meses)  ...            1757.770000\n",
              "Caixa Líquido Ajustado / EBITDA Ajustado                  Caixa Líquido Ajustado / EBITDA Ajustado  ...               3.846042\n",
              "NaN                                                                                            NaN  ...                    NaN\n",
              "Caixa, Aplicações e Cartões de Crédito                      Caixa, Aplicações e Cartões de Crédito  ...            9112.493000\n",
              "\n",
              "[24 rows x 32 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "Cr2nXBucNXDO"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Endividamento \n",
        "\n",
        "#Conseguimos ver uma parcial mudança no perfil da dívida\n",
        "\n",
        "fig = go.Figure()\n",
        "fig.add_trace(go.Bar(x=indicadores.columns, y=estrutura_capital.loc['(-) Empréstimos e Financiamentos Circulante'],name='End Curto Prazo'))\n",
        "fig.add_trace(go.Bar(x=indicadores.columns, y=estrutura_capital.loc['(-) Empréstimos e Financiamentos não Circulante'],name='End Longo Prazo'))\n",
        "fig.update_layout(title_text='Endividamento')\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "RdQYP3VzKx-p",
        "outputId": "c8dbb4e0-bf5f-4ead-f6a4-056d4e7f3c2a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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    {
      "cell_type": "code",
      "source": [
        "#Endividamento Bruto\n",
        "\n",
        "fig = go.Figure()\n",
        "fig.add_trace(go.Bar(x=indicadores.columns, y=estrutura_capital.loc['(=) Endividamento Bruto '],name='CaixaLiq/EBITDA'))\n",
        "fig.update_layout(title_text='CaixaLiq/EBITDA')\n",
        "fig.show()"
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      "metadata": {
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          "height": 542
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        "id": "KNnXo5bOUg4u",
        "outputId": "be8d30d9-7717-4b70-96b1-e51e1da8a7e3"
      },
      "execution_count": null,
      "outputs": [
        {
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        "#Caixa Líquido Ajustado / EBITDA Ajustado\n",
        "\n",
        "fig = go.Figure()\n",
        "fig.add_trace(go.Scatter(x=indicadores.columns, y=estrutura_capital.loc['Caixa Líquido Ajustado / EBITDA Ajustado'],name='CaixaLiq/EBITDA'))\n",
        "fig.update_layout(title_text='CaixaLiq/EBITDA')\n",
        "fig.show()"
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    {
      "cell_type": "markdown",
      "source": [
        "##4.4.Estoques"
      ],
      "metadata": {
        "id": "6sUGBhCiP4c9"
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    {
      "cell_type": "code",
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        "bp = pd.read_excel(io.BytesIO(uploaded['RESULTADO_3T21_POR.xlsx']), header=1, sheet_name=3)\n",
        "bp.set_index(bp['ATIVO'],inplace=True)\n",
        "\n",
        "bp"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 793
        },
        "id": "3QVyev1rM3_F",
        "outputId": "4da5a5ba-10ef-4be9-ae93-7f0f6d05e4d8"
      },
      "execution_count": null,
      "outputs": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ATIVO</th>\n",
              "      <th>2016-03-31 00:00:00</th>\n",
              "      <th>2016-06-30 00:00:00</th>\n",
              "      <th>2016-09-30 00:00:00</th>\n",
              "      <th>2016-12-30 00:00:00</th>\n",
              "      <th>2017-03-31 00:00:00</th>\n",
              "      <th>2017-06-30 00:00:00</th>\n",
              "      <th>2017-09-30 00:00:00</th>\n",
              "      <th>2017-12-31 00:00:00</th>\n",
              "      <th>2018-03-31 00:00:00</th>\n",
              "      <th>2018-06-30 00:00:00</th>\n",
              "      <th>2018-09-30 00:00:00</th>\n",
              "      <th>2018-12-31 00:00:00</th>\n",
              "      <th>2019-03-31 00:00:00</th>\n",
              "      <th>2019-06-30 00:00:00</th>\n",
              "      <th>2019-09-30 00:00:00</th>\n",
              "      <th>2019-12-01 00:00:00</th>\n",
              "      <th>2020-03-31 00:00:00</th>\n",
              "      <th>2020-06-01 00:00:00</th>\n",
              "      <th>2020-09-02 00:00:00</th>\n",
              "      <th>2020-12-01 00:00:00</th>\n",
              "      <th>2021-03-02 00:00:00</th>\n",
              "      <th>2021-06-03 00:00:00</th>\n",
              "      <th>2021-09-04 00:00:00</th>\n",
              "      <th>Unnamed: 24</th>\n",
              "      <th>2016-12-30 00:00:00.1</th>\n",
              "      <th>2017-12-31 00:00:00.1</th>\n",
              "      <th>2018-12-31 00:00:00.1</th>\n",
              "      <th>2019-12-01 00:00:00.1</th>\n",
              "      <th>2020-12-01 00:00:00.1</th>\n",
              "      <th>2020-09-02 00:00:00.1</th>\n",
              "      <th>2021-09-02 00:00:00</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ATIVO</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ATIVO CIRCULANTE</th>\n",
              "      <td>ATIVO CIRCULANTE</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Caixa e Equivalentes de Caixa</th>\n",
              "      <td>Caixa e Equivalentes de Caixa</td>\n",
              "      <td>411.265</td>\n",
              "      <td>197.501</td>\n",
              "      <td>234.56</td>\n",
              "      <td>599.141</td>\n",
              "      <td>255.085</td>\n",
              "      <td>265.061</td>\n",
              "      <td>178.625</td>\n",
              "      <td>412.707</td>\n",
              "      <td>775.152</td>\n",
              "      <td>680.451</td>\n",
              "      <td>419.013</td>\n",
              "      <td>599.087</td>\n",
              "      <td>293.189</td>\n",
              "      <td>625.705</td>\n",
              "      <td>221.794</td>\n",
              "      <td>305.746</td>\n",
              "      <td>388.904</td>\n",
              "      <td>1103.52</td>\n",
              "      <td>1190.44</td>\n",
              "      <td>1681.38</td>\n",
              "      <td>639.869</td>\n",
              "      <td>1288.34</td>\n",
              "      <td>751.223</td>\n",
              "      <td>NaN</td>\n",
              "      <td>599.141</td>\n",
              "      <td>412.707</td>\n",
              "      <td>599.087</td>\n",
              "      <td>305.746</td>\n",
              "      <td>1681.38</td>\n",
              "      <td>1190.44</td>\n",
              "      <td>751.223</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Títulos e Valores Mobiliários</th>\n",
              "      <td>Títulos e Valores Mobiliários</td>\n",
              "      <td>302.246</td>\n",
              "      <td>464.845</td>\n",
              "      <td>566.954</td>\n",
              "      <td>818.984</td>\n",
              "      <td>521.375</td>\n",
              "      <td>596.982</td>\n",
              "      <td>1043.67</td>\n",
              "      <td>1259.55</td>\n",
              "      <td>299.345</td>\n",
              "      <td>182.84</td>\n",
              "      <td>253.756</td>\n",
              "      <td>409.111</td>\n",
              "      <td>217.285</td>\n",
              "      <td>441.096</td>\n",
              "      <td>238.717</td>\n",
              "      <td>4448.16</td>\n",
              "      <td>2231.27</td>\n",
              "      <td>1878.8</td>\n",
              "      <td>1725.6</td>\n",
              "      <td>1221.78</td>\n",
              "      <td>745.394</td>\n",
              "      <td>468.466</td>\n",
              "      <td>1354.19</td>\n",
              "      <td>NaN</td>\n",
              "      <td>818.984</td>\n",
              "      <td>1259.55</td>\n",
              "      <td>409.111</td>\n",
              "      <td>4448.16</td>\n",
              "      <td>1221.78</td>\n",
              "      <td>1725.6</td>\n",
              "      <td>1354.19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Contas a Receber - Cartão de Crédito</th>\n",
              "      <td>Contas a Receber - Cartão de Crédito</td>\n",
              "      <td>176.063</td>\n",
              "      <td>174.859</td>\n",
              "      <td>186.983</td>\n",
              "      <td>276.206</td>\n",
              "      <td>342.39</td>\n",
              "      <td>240.627</td>\n",
              "      <td>333.118</td>\n",
              "      <td>820.267</td>\n",
              "      <td>992.543</td>\n",
              "      <td>1018.95</td>\n",
              "      <td>1120.2</td>\n",
              "      <td>1492.32</td>\n",
              "      <td>1146.78</td>\n",
              "      <td>817.235</td>\n",
              "      <td>1141.98</td>\n",
              "      <td>2121.01</td>\n",
              "      <td>1365.74</td>\n",
              "      <td>3705.31</td>\n",
              "      <td>3327.55</td>\n",
              "      <td>3847.32</td>\n",
              "      <td>2891.02</td>\n",
              "      <td>2610.05</td>\n",
              "      <td>4187.28</td>\n",
              "      <td>NaN</td>\n",
              "      <td>276.206</td>\n",
              "      <td>820.267</td>\n",
              "      <td>1492.32</td>\n",
              "      <td>2121.01</td>\n",
              "      <td>3847.32</td>\n",
              "      <td>3327.55</td>\n",
              "      <td>4187.28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ajuste de Avaliação Patrimonial</th>\n",
              "      <td>Ajuste de Avaliação Patrimonial</td>\n",
              "      <td>0.239</td>\n",
              "      <td>0.947</td>\n",
              "      <td>1.386</td>\n",
              "      <td>1.202</td>\n",
              "      <td>2.317</td>\n",
              "      <td>1.824</td>\n",
              "      <td>3.209</td>\n",
              "      <td>2.659</td>\n",
              "      <td>4.86</td>\n",
              "      <td>4.668</td>\n",
              "      <td>3.276</td>\n",
              "      <td>5.331</td>\n",
              "      <td>-2.143</td>\n",
              "      <td>1.211</td>\n",
              "      <td>3.444</td>\n",
              "      <td>3.168</td>\n",
              "      <td>5.639</td>\n",
              "      <td>-13.741</td>\n",
              "      <td>-7.877</td>\n",
              "      <td>11.151</td>\n",
              "      <td>6.648</td>\n",
              "      <td>4.253</td>\n",
              "      <td>1.964</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.202</td>\n",
              "      <td>2.659</td>\n",
              "      <td>5.331</td>\n",
              "      <td>3.168</td>\n",
              "      <td>11.151</td>\n",
              "      <td>-7.877</td>\n",
              "      <td>1.964</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lucros (Prejuízos) Acumulados</th>\n",
              "      <td>Lucros (Prejuízos) Acumulados</td>\n",
              "      <td>-45.103</td>\n",
              "      <td>-51.122</td>\n",
              "      <td>-26.299</td>\n",
              "      <td>0</td>\n",
              "      <td>58.563</td>\n",
              "      <td>124.719</td>\n",
              "      <td>217.203</td>\n",
              "      <td>0</td>\n",
              "      <td>147.483</td>\n",
              "      <td>288.229</td>\n",
              "      <td>407.785</td>\n",
              "      <td>0</td>\n",
              "      <td>132.104</td>\n",
              "      <td>518.73</td>\n",
              "      <td>753.83</td>\n",
              "      <td>0</td>\n",
              "      <td>30.803</td>\n",
              "      <td>-33.734</td>\n",
              "      <td>172.223</td>\n",
              "      <td>0</td>\n",
              "      <td>258.64</td>\n",
              "      <td>354.177</td>\n",
              "      <td>497.693</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>172.223</td>\n",
              "      <td>497.693</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total do Patrimônio Líquido</th>\n",
              "      <td>Total do Patrimônio Líquido</td>\n",
              "      <td>577.029</td>\n",
              "      <td>588.179</td>\n",
              "      <td>609.752</td>\n",
              "      <td>621.586</td>\n",
              "      <td>682.38</td>\n",
              "      <td>747.018</td>\n",
              "      <td>861.782</td>\n",
              "      <td>2073.98</td>\n",
              "      <td>2047.57</td>\n",
              "      <td>2188.57</td>\n",
              "      <td>2312.32</td>\n",
              "      <td>2302.87</td>\n",
              "      <td>2433.04</td>\n",
              "      <td>3110.95</td>\n",
              "      <td>3193.62</td>\n",
              "      <td>7564.94</td>\n",
              "      <td>7528.06</td>\n",
              "      <td>7443.84</td>\n",
              "      <td>7376.6</td>\n",
              "      <td>7325.29</td>\n",
              "      <td>7270.69</td>\n",
              "      <td>7265.61</td>\n",
              "      <td>10872.5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>621.586</td>\n",
              "      <td>2073.98</td>\n",
              "      <td>2302.87</td>\n",
              "      <td>7564.94</td>\n",
              "      <td>7325.29</td>\n",
              "      <td>7376.6</td>\n",
              "      <td>10872.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NaN</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TOTAL DO PASSIVO E PATRIMÔNIO LÍQUIDO</th>\n",
              "      <td>TOTAL DO PASSIVO E PATRIMÔNIO LÍQUIDO</td>\n",
              "      <td>4897.75</td>\n",
              "      <td>4891.81</td>\n",
              "      <td>5113.78</td>\n",
              "      <td>6100.61</td>\n",
              "      <td>5273.33</td>\n",
              "      <td>5271.8</td>\n",
              "      <td>5947.14</td>\n",
              "      <td>7419.51</td>\n",
              "      <td>6901.21</td>\n",
              "      <td>7038.71</td>\n",
              "      <td>7134.7</td>\n",
              "      <td>8796.74</td>\n",
              "      <td>9741.23</td>\n",
              "      <td>12082.7</td>\n",
              "      <td>13252.8</td>\n",
              "      <td>19791.1</td>\n",
              "      <td>17710.1</td>\n",
              "      <td>20558.6</td>\n",
              "      <td>21814.8</td>\n",
              "      <td>24647.2</td>\n",
              "      <td>22610.6</td>\n",
              "      <td>25066.2</td>\n",
              "      <td>30549.5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6100.61</td>\n",
              "      <td>7419.51</td>\n",
              "      <td>8796.74</td>\n",
              "      <td>19791.1</td>\n",
              "      <td>24647.2</td>\n",
              "      <td>21814.8</td>\n",
              "      <td>30549.5</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>65 rows × 32 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                                       ATIVO  ... 2021-09-02 00:00:00\n",
              "ATIVO                                                                         ...                    \n",
              "NaN                                                                      NaN  ...                 NaN\n",
              "ATIVO CIRCULANTE                                            ATIVO CIRCULANTE  ...                 NaN\n",
              "Caixa e Equivalentes de Caixa                  Caixa e Equivalentes de Caixa  ...             751.223\n",
              "Títulos e Valores Mobiliários                  Títulos e Valores Mobiliários  ...             1354.19\n",
              "Contas a Receber - Cartão de Crédito    Contas a Receber - Cartão de Crédito  ...             4187.28\n",
              "...                                                                      ...  ...                 ...\n",
              "Ajuste de Avaliação Patrimonial              Ajuste de Avaliação Patrimonial  ...               1.964\n",
              "Lucros (Prejuízos) Acumulados                  Lucros (Prejuízos) Acumulados  ...             497.693\n",
              "Total do Patrimônio Líquido                      Total do Patrimônio Líquido  ...             10872.5\n",
              "NaN                                                                      NaN  ...                 NaN\n",
              "TOTAL DO PASSIVO E PATRIMÔNIO LÍQUIDO  TOTAL DO PASSIVO E PATRIMÔNIO LÍQUIDO  ...             30549.5\n",
              "\n",
              "[65 rows x 32 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig = make_subplots(specs=[[{\"secondary_y\": True}]])\n",
        "fig.add_trace(go.Bar(x=indicadores.columns, y=bp.loc['Estoques'],name='Estoques'), secondary_y=False)\n",
        "fig.add_trace(go.Scatter(x=indicadores.columns, y=indicadores.loc['Receita Bruta Total'],name='Receita Bruta Total'), secondary_y=True)\n",
        "fig.update_layout(title_text='Estoques')\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "5torbIQ9OoVt",
        "outputId": "6a2beb1c-8b2a-4d32-f26c-8d91ce315b52"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
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