diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/decimalExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/decimalExpressions.scala
index 37e3dd5ea89e..01b6e81b3cfb 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/decimalExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/decimalExpressions.scala
@@ -213,7 +213,7 @@ case class CheckOverflowInSum(
 }
 
 /**
- * An add expression for decimal values which is only used internally by Sum/Avg.
+ * An add expression for decimal values which is only used internally by Sum/Avg/Window.
  *
  * Nota that, this expression does not check overflow which is different with `Add`. When
  * aggregating values, Spark writes the aggregation buffer values to `UnsafeRow` via
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowExecBase.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowExecBase.scala
index 0f19f14576b9..44181c79bced 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowExecBase.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowExecBase.scala
@@ -128,6 +128,7 @@ trait WindowExecBase extends UnaryExecNode {
             TimestampAddYMInterval(expr, boundOffset, Some(timeZone))
           case (TimestampType | TimestampNTZType, _: DayTimeIntervalType) =>
             TimeAdd(expr, boundOffset, Some(timeZone))
+          case (d: DecimalType, _: DecimalType) => DecimalAddNoOverflowCheck(expr, boundOffset, d)
           case (a, b) if a == b => Add(expr, boundOffset)
         }
         val bound = MutableProjection.create(boundExpr :: Nil, child.output)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFramesSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFramesSuite.scala
index ea8cfc7b81a4..48a3d7405597 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFramesSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFramesSuite.scala
@@ -17,7 +17,7 @@
 
 package org.apache.spark.sql
 
-import org.apache.spark.sql.catalyst.expressions.{Ascending, Literal, NonFoldableLiteral, RangeFrame, SortOrder, SpecifiedWindowFrame, UnspecifiedFrame}
+import org.apache.spark.sql.catalyst.expressions.{Ascending, Literal, NonFoldableLiteral, RangeFrame, SortOrder, SpecifiedWindowFrame, UnaryMinus, UnspecifiedFrame}
 import org.apache.spark.sql.catalyst.plans.logical.{Window => WindowNode}
 import org.apache.spark.sql.expressions.{Window, WindowSpec}
 import org.apache.spark.sql.functions._
@@ -474,4 +474,22 @@ class DataFrameWindowFramesSuite extends QueryTest with SharedSparkSession {
     checkAnswer(df,
       Row(3, 1.5) :: Row(3, 1.5) :: Row(6, 2.0) :: Row(6, 2.0) :: Row(6, 2.0) :: Nil)
   }
+
+  test("SPARK-41793: Incorrect result for window frames defined by a range clause on large " +
+    "decimals") {
+    val window = new WindowSpec(Seq($"a".expr), Seq(SortOrder($"b".expr, Ascending)),
+      SpecifiedWindowFrame(RangeFrame,
+        UnaryMinus(Literal(BigDecimal(10.2345))), Literal(BigDecimal(6.7890))))
+
+    val df = Seq(
+      1 -> "11342371013783243717493546650944543.47",
+      1 -> "999999999999999999999999999999999999.99"
+    ).toDF("a", "b")
+      .select($"a", $"b".cast("decimal(38, 2)"))
+      .select(count("*").over(window))
+
+    checkAnswer(
+      df,
+      Row(1) :: Row(1) :: Nil)
+  }
 }