diff --git a/python/pyspark/pandas/data_type_ops/base.py b/python/pyspark/pandas/data_type_ops/base.py
index 5a4cd7a1eb07..2df40252965b 100644
--- a/python/pyspark/pandas/data_type_ops/base.py
+++ b/python/pyspark/pandas/data_type_ops/base.py
@@ -150,7 +150,10 @@ def _as_bool_type(index_ops: IndexOpsLike, dtype: Dtype) -> IndexOpsLike:
     if isinstance(dtype, extension_dtypes):
         scol = index_ops.spark.column.cast(spark_type)
     else:
-        scol = F.when(index_ops.spark.column.isNull(), F.lit(False)).otherwise(
+        null_value = (
+            F.lit(True) if isinstance(index_ops.spark.data_type, DecimalType) else F.lit(False)
+        )
+        scol = F.when(index_ops.spark.column.isNull(), null_value).otherwise(
             index_ops.spark.column.cast(spark_type)
         )
     return index_ops._with_new_scol(
diff --git a/python/pyspark/pandas/tests/data_type_ops/test_as_type.py b/python/pyspark/pandas/tests/data_type_ops/test_as_type.py
index 9d5c0d03d548..3fbfcf42f49f 100644
--- a/python/pyspark/pandas/tests/data_type_ops/test_as_type.py
+++ b/python/pyspark/pandas/tests/data_type_ops/test_as_type.py
@@ -54,10 +54,7 @@ def test_astype(self):
                         lambda: psser.astype(int_type),
                     )
 
-            # TODO(SPARK-37039): the np.nan series.astype(bool) should be True
-            if not pser.hasnans:
-                self.assert_eq(pser.astype(bool), psser.astype(bool))
-
+            self.assert_eq(pser.astype(bool), psser.astype(bool))
             self.assert_eq(pser.astype(float), psser.astype(float))
             self.assert_eq(pser.astype(np.float32), psser.astype(np.float32))
             self.assert_eq(pser.astype(str), psser.astype(str))