diff --git a/spark/src/test/scala/org/apache/comet/CometCastSuite.scala b/spark/src/test/scala/org/apache/comet/CometCastSuite.scala
index 7245f72842..46b43d59d9 100644
--- a/spark/src/test/scala/org/apache/comet/CometCastSuite.scala
+++ b/spark/src/test/scala/org/apache/comet/CometCastSuite.scala
@@ -26,7 +26,6 @@ import scala.jdk.CollectionConverters._
 import scala.util.Random
 
 import org.apache.hadoop.fs.Path
-import org.apache.spark.SparkConf
 import org.apache.spark.sql.{CometTestBase, DataFrame, Row, SaveMode}
 import org.apache.spark.sql.catalyst.expressions.Cast
 import org.apache.spark.sql.catalyst.parser.ParseException
@@ -43,11 +42,6 @@ class CometCastSuite extends CometTestBase with AdaptiveSparkPlanHelper {
 
   import testImplicits._
 
-  // Casts in this suite predominantly test non-ANSI semantics (silent overflow/null on
-  // invalid input); tests that target ANSI behavior opt in explicitly via withSQLConf.
-  override protected def sparkConf: SparkConf =
-    super.sparkConf.set(SQLConf.ANSI_ENABLED.key, "false")
-
   /** Create a data generator using a fixed seed so that tests are reproducible */
   private val gen = DataGenerator.DEFAULT
 
diff --git a/spark/src/test/scala/org/apache/comet/CometFuzzMathSuite.scala b/spark/src/test/scala/org/apache/comet/CometFuzzMathSuite.scala
index 50a4425f97..2848bd23d9 100644
--- a/spark/src/test/scala/org/apache/comet/CometFuzzMathSuite.scala
+++ b/spark/src/test/scala/org/apache/comet/CometFuzzMathSuite.scala
@@ -19,18 +19,10 @@
 
 package org.apache.comet
 
-import org.apache.spark.SparkConf
-import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types.{DecimalType, IntegerType, LongType}
 
 class CometFuzzMathSuite extends CometFuzzTestBase {
 
-  // The integer-math fuzz tests intentionally cover overflowing inputs; under Spark 4's
-  // default ANSI mode those would throw rather than produce a result for both Spark and
-  // Comet to compare against. Pin ANSI off so the parity comparison can run.
-  override protected def sparkConf: SparkConf =
-    super.sparkConf.set(SQLConf.ANSI_ENABLED.key, "false")
-
   for (op <- Seq("+", "-", "*", "/", "div")) {
     test(s"integer math: $op") {
       val df = spark.read.parquet(filename)
@@ -63,5 +55,4 @@ class CometFuzzMathSuite extends CometFuzzTestBase {
       checkSparkAnswerAndOperator(sql)
     }
   }
-
 }
diff --git a/spark/src/test/scala/org/apache/comet/exec/CometAggregateSuite.scala b/spark/src/test/scala/org/apache/comet/exec/CometAggregateSuite.scala
index ae14c68207..23b3d43959 100644
--- a/spark/src/test/scala/org/apache/comet/exec/CometAggregateSuite.scala
+++ b/spark/src/test/scala/org/apache/comet/exec/CometAggregateSuite.scala
@@ -22,7 +22,6 @@ package org.apache.comet.exec
 import scala.util.Random
 
 import org.apache.hadoop.fs.Path
-import org.apache.spark.SparkConf
 import org.apache.spark.sql.{CometTestBase, DataFrame, Row}
 import org.apache.spark.sql.catalyst.expressions.Cast
 import org.apache.spark.sql.catalyst.optimizer.EliminateSorts
@@ -43,11 +42,6 @@ import org.apache.comet.testing.{DataGenOptions, FuzzDataGenerator, ParquetGener
 class CometAggregateSuite extends CometTestBase with AdaptiveSparkPlanHelper {
   import testImplicits._
 
-  // Several aggregate tests exercise overflow behavior expected to wrap around silently;
-  // ANSI-mode variants opt in to ANSI explicitly via withSQLConf.
-  override protected def sparkConf: SparkConf =
-    super.sparkConf.set(SQLConf.ANSI_ENABLED.key, "false")
-
   test("min/max floating point with negative zero") {
     val r = new Random(42)
     val schema = StructType(