diff --git a/backends-velox/src-delta33/test/scala/org/apache/gluten/execution/GlutenDeltaStatsSuite.scala b/backends-velox/src-delta33/test/scala/org/apache/gluten/execution/GlutenDeltaStatsSuite.scala
new file mode 100644
index 0000000000..70da8cc317
--- /dev/null
+++ b/backends-velox/src-delta33/test/scala/org/apache/gluten/execution/GlutenDeltaStatsSuite.scala
@@ -0,0 +1,58 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.gluten.execution
+
+import org.apache.spark.sql.QueryTest
+import org.apache.spark.sql.delta.test.DeltaSQLCommandTest
+import org.apache.spark.sql.test.SharedSparkSession
+
+import java.io.File
+
+/**
+ * Regression test for the Gluten Delta per-file statistics tracker.
+ *
+ * Writing a Delta table whose collected min/max statistics cannot be offloaded to Velox -- for
+ * example over a TIMESTAMP_NTZ column -- used to crash the write task with a ClassCastException
+ * (ProjectExec cannot be cast to WholeStageTransformer), because the native stats tracker assumed
+ * the statistics aggregation always collapses into a WholeStageTransformer. The tracker must now
+ * fall back to row-based statistics collection instead of crashing.
+ */
+class GlutenDeltaStatsSuite extends QueryTest with SharedSparkSession with DeltaSQLCommandTest {
+
+  import testImplicits._
+
+  test("TIMESTAMP_NTZ stats fall back instead of crashing the write") {
+    withTempDir {
+      dir =>
+        val path = new File(dir, "ntz-stats").getCanonicalPath
+        // The maxValue statistic for a TIMESTAMP_NTZ near Long.MaxValue triggers the per-file
+        // statistics aggregation that cannot be offloaded to Velox.
+        val nearMaxMicros = Long.MaxValue - 999L
+        val data = Seq(nearMaxMicros)
+          .toDF("micros")
+          .selectExpr("micros AS id", "CAST(TIMESTAMP_MICROS(micros) AS TIMESTAMP_NTZ) AS ts")
+
+        // Without the fix this write fails with a ClassCastException (ProjectExec cannot be cast
+        // to WholeStageTransformer) while collecting statistics. With the fix it succeeds via the
+        // row-based fallback tracker. A count avoids materializing the TIMESTAMP_NTZ column, which
+        // is an unrelated read-path limitation.
+        data.coalesce(1).write.format("delta").save(path)
+
+        assert(spark.read.format("delta").load(path).count() === 1)
+    }
+  }
+}
diff --git a/backends-velox/src-delta40/test/scala/org/apache/gluten/execution/GlutenDeltaStatsSuite.scala b/backends-velox/src-delta40/test/scala/org/apache/gluten/execution/GlutenDeltaStatsSuite.scala
new file mode 100644
index 0000000000..70da8cc317
--- /dev/null
+++ b/backends-velox/src-delta40/test/scala/org/apache/gluten/execution/GlutenDeltaStatsSuite.scala
@@ -0,0 +1,58 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.gluten.execution
+
+import org.apache.spark.sql.QueryTest
+import org.apache.spark.sql.delta.test.DeltaSQLCommandTest
+import org.apache.spark.sql.test.SharedSparkSession
+
+import java.io.File
+
+/**
+ * Regression test for the Gluten Delta per-file statistics tracker.
+ *
+ * Writing a Delta table whose collected min/max statistics cannot be offloaded to Velox -- for
+ * example over a TIMESTAMP_NTZ column -- used to crash the write task with a ClassCastException
+ * (ProjectExec cannot be cast to WholeStageTransformer), because the native stats tracker assumed
+ * the statistics aggregation always collapses into a WholeStageTransformer. The tracker must now
+ * fall back to row-based statistics collection instead of crashing.
+ */
+class GlutenDeltaStatsSuite extends QueryTest with SharedSparkSession with DeltaSQLCommandTest {
+
+  import testImplicits._
+
+  test("TIMESTAMP_NTZ stats fall back instead of crashing the write") {
+    withTempDir {
+      dir =>
+        val path = new File(dir, "ntz-stats").getCanonicalPath
+        // The maxValue statistic for a TIMESTAMP_NTZ near Long.MaxValue triggers the per-file
+        // statistics aggregation that cannot be offloaded to Velox.
+        val nearMaxMicros = Long.MaxValue - 999L
+        val data = Seq(nearMaxMicros)
+          .toDF("micros")
+          .selectExpr("micros AS id", "CAST(TIMESTAMP_MICROS(micros) AS TIMESTAMP_NTZ) AS ts")
+
+        // Without the fix this write fails with a ClassCastException (ProjectExec cannot be cast
+        // to WholeStageTransformer) while collecting statistics. With the fix it succeeds via the
+        // row-based fallback tracker. A count avoids materializing the TIMESTAMP_NTZ column, which
+        // is an unrelated read-path limitation.
+        data.coalesce(1).write.format("delta").save(path)
+
+        assert(spark.read.format("delta").load(path).count() === 1)
+    }
+  }
+}