diff --git a/python/pyspark/pandas/namespace.py b/python/pyspark/pandas/namespace.py
index 2213bfcc6aa16..3ff617c0ee3fb 100644
--- a/python/pyspark/pandas/namespace.py
+++ b/python/pyspark/pandas/namespace.py
@@ -64,6 +64,7 @@
     FloatType,
     DoubleType,
     BooleanType,
+    NumericType,
     TimestampType,
     TimestampNTZType,
     DecimalType,
@@ -3651,6 +3652,8 @@ def to_numeric(arg, errors="raise"):
     1.0
     """
     if isinstance(arg, Series):
+        if isinstance(arg.spark.data_type, (NumericType, BooleanType)):
+            return arg.copy()
         if errors == "coerce":
             spark_session = arg._internal.spark_frame.sparkSession
             if is_ansi_mode_enabled(spark_session):
diff --git a/python/pyspark/pandas/tests/test_namespace.py b/python/pyspark/pandas/tests/test_namespace.py
index 8a267f76c5369..f68a637723f79 100644
--- a/python/pyspark/pandas/tests/test_namespace.py
+++ b/python/pyspark/pandas/tests/test_namespace.py
@@ -607,6 +607,11 @@ def test_to_numeric(self):
             lambda: ps.to_numeric(psser, errors="ignore"),
         )
 
+        # SPARK-54666: Series with numeric dtype should be returned as-is.
+        pser = pd.Series([-1554478299, 2])
+        psser = ps.from_pandas(pser)
+        self.assert_eq(pd.to_numeric(pser), ps.to_numeric(psser))
+
     def test_json_normalize(self):
         # Basic test case with a simple JSON structure
         data = [