diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/arithmetic.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/arithmetic.scala
index 116227224fdd1..3ce11b9eb1572 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/arithmetic.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/arithmetic.scala
@@ -865,7 +865,9 @@ case class IntegralDivide(
     // This follows division rule
     val intDig = p1 - s1 + s2
     // No precision loss can happen as the result scale is 0.
-    DecimalType.bounded(intDig, 0)
+    // If intDig is 0 that means the result data is 0, to be safe we use decimal(1, 0)
+    // to represent 0.
+    DecimalType.bounded(if (intDig == 0) 1 else intDig, 0)
   }
 
   override def sqlOperator: String = "div"
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
index 72e459ca1982f..12eb52bc168e2 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
@@ -3584,6 +3584,11 @@ class DataFrameSuite extends QueryTest
       assert(row.getInt(0).toString == row.getString(3))
     }
   }
+
+  test("SPARK-41219: IntegralDivide use decimal(1, 0) to represent 0") {
+    val df = Seq("0.5944910").toDF("a")
+    checkAnswer(df.selectExpr("cast(a as decimal(7,7)) div 100"), Row(0))
+  }
 }
 
 case class GroupByKey(a: Int, b: Int)