diff --git a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/features/BasicExecutorFeatureStep.scala b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/features/BasicExecutorFeatureStep.scala
index fcbcd797a8066..bd7e7174cff1d 100644
--- a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/features/BasicExecutorFeatureStep.scala
+++ b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/features/BasicExecutorFeatureStep.scala
@@ -226,6 +226,10 @@ private[spark] class BasicExecutorFeatureStep(
     val containerWithLimitCores = if (isDefaultProfile) {
       executorLimitCores.map { limitCores =>
         val executorCpuLimitQuantity = new Quantity(limitCores)
+        if (executorCpuLimitQuantity.compareTo(executorCpuQuantity) < 0) {
+          throw new SparkException(s"The executor cpu request ($executorCpuQuantity) should be " +
+            s"less than or equal to cpu limit ($executorCpuLimitQuantity)")
+        }
         new ContainerBuilder(executorContainerWithConfVolume)
           .editResources()
           .addToLimits("cpu", executorCpuLimitQuantity)
diff --git a/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/deploy/k8s/features/BasicExecutorFeatureStepSuite.scala b/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/deploy/k8s/features/BasicExecutorFeatureStepSuite.scala
index 37d28c203000e..906727e49276e 100644
--- a/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/deploy/k8s/features/BasicExecutorFeatureStepSuite.scala
+++ b/resource-managers/kubernetes/core/src/test/scala/org/apache/spark/deploy/k8s/features/BasicExecutorFeatureStepSuite.scala
@@ -120,6 +120,18 @@ class BasicExecutorFeatureStepSuite extends SparkFunSuite with BeforeAndAfter {
     assert(error.contains("You must specify an amount for gpu"))
   }
 
+  test("SPARK-52933: Verify if the executor cpu request exceeds limit") {
+    baseConf.set(KUBERNETES_EXECUTOR_REQUEST_CORES, "2")
+    baseConf.set(KUBERNETES_EXECUTOR_LIMIT_CORES, "1")
+    val error = intercept[SparkException] {
+      initDefaultProfile(baseConf)
+      val step = new BasicExecutorFeatureStep(newExecutorConf(), new SecurityManager(baseConf),
+        defaultProfile)
+      val executor = step.configurePod(SparkPod.initialPod())
+    }.getMessage()
+    assert(error.contains("cpu request (2) should be less than or equal to cpu limit (1)"))
+  }
+
   test("basic executor pod with resources") {
     val fpgaResourceID = new ResourceID(SPARK_EXECUTOR_PREFIX, FPGA)
     val gpuExecutorResourceID = new ResourceID(SPARK_EXECUTOR_PREFIX, GPU)