diff --git a/doc/source/whatsnew/v3.0.0.rst b/doc/source/whatsnew/v3.0.0.rst
index 834477f2aa46a..2d7d848146d62 100644
--- a/doc/source/whatsnew/v3.0.0.rst
+++ b/doc/source/whatsnew/v3.0.0.rst
@@ -752,6 +752,7 @@ Conversion
 - Bug in :meth:`Series.astype` might modify read-only array inplace when casting to a string dtype (:issue:`57212`)
 - Bug in :meth:`Series.convert_dtypes` and :meth:`DataFrame.convert_dtypes` removing timezone information for objects with :class:`ArrowDtype` (:issue:`60237`)
 - Bug in :meth:`Series.reindex` not maintaining ``float32`` type when a ``reindex`` introduces a missing value (:issue:`45857`)
+- Bug in :meth:`_array_ops._maybe_prepare_scalar_for_op` not maintaining ``float32`` type when converting NumPy floating scalars (:issue:`61951`)
 
 Strings
 ^^^^^^^
diff --git a/pandas/core/ops/array_ops.py b/pandas/core/ops/array_ops.py
index 3a466b6fc7fc8..d1e211cd991be 100644
--- a/pandas/core/ops/array_ops.py
+++ b/pandas/core/ops/array_ops.py
@@ -573,7 +573,7 @@ def maybe_prepare_scalar_for_op(obj, shape: Shape):
         return int(obj)
 
     elif isinstance(obj, np.floating):
-        return float(obj)
+        return np.dtype(obj.dtype).type(obj)
 
     return obj
 
diff --git a/pandas/tests/series/methods/test_convert_dtypes.py b/pandas/tests/series/methods/test_convert_dtypes.py
index 324e03894e92c..b89255a0ae8ee 100644
--- a/pandas/tests/series/methods/test_convert_dtypes.py
+++ b/pandas/tests/series/methods/test_convert_dtypes.py
@@ -318,3 +318,9 @@ def test_convert_dtype_pyarrow_timezone_preserve(self):
         result = ser.convert_dtypes(dtype_backend="pyarrow")
         expected = ser.copy()
         tm.assert_series_equal(result, expected)
+
+    def test_float32_series_addition_preserves_dtype(self):
+        # GH#61951
+        ser_a = pd.Series(np.zeros(1000000), dtype="float32") + np.float32(1)
+        ser_b = pd.Series(np.zeros(1000001), dtype="float32") + np.float32(1)
+        assert all(dtype == np.float32 for dtype in (ser_a.dtype, ser_b.dtype))