diff --git a/gymnasium/wrappers/jax_to_numpy.py b/gymnasium/wrappers/jax_to_numpy.py
index 807f19522..dfa682594 100644
--- a/gymnasium/wrappers/jax_to_numpy.py
+++ b/gymnasium/wrappers/jax_to_numpy.py
@@ -59,7 +59,12 @@ def _iterable_numpy_to_jax(
     value: Iterable[np.ndarray | Any],
 ) -> Iterable[jax.Array | Any]:
     """Converts an Iterable from Numpy Arrays to an iterable of Jax Array."""
-    return type(value)(numpy_to_jax(v) for v in value)
+    if hasattr(value, "_make"):
+        # namedtuple - underline used to prevent potential name conflicts
+        # noinspection PyProtectedMember
+        return type(value)._make(numpy_to_jax(v) for v in value)
+    else:
+        return type(value)(numpy_to_jax(v) for v in value)
 
 
 @functools.singledispatch
@@ -89,7 +94,12 @@ def _iterable_jax_to_numpy(
     value: Iterable[np.ndarray | Any],
 ) -> Iterable[jax.Array | Any]:
     """Converts an Iterable from Numpy arrays to an iterable of Jax Array."""
-    return type(value)(jax_to_numpy(v) for v in value)
+    if hasattr(value, "_make"):
+        # namedtuple - underline used to prevent potential name conflicts
+        # noinspection PyProtectedMember
+        return type(value)._make(jax_to_numpy(v) for v in value)
+    else:
+        return type(value)(jax_to_numpy(v) for v in value)
 
 
 class JaxToNumpy(
diff --git a/tests/wrappers/test_jax_to_numpy.py b/tests/wrappers/test_jax_to_numpy.py
index 11311c66e..61422a2df 100644
--- a/tests/wrappers/test_jax_to_numpy.py
+++ b/tests/wrappers/test_jax_to_numpy.py
@@ -1,4 +1,5 @@
 """Test suite for JaxToNumpy wrapper."""
+from typing import NamedTuple
 
 import numpy as np
 import pytest
@@ -16,6 +17,11 @@
 from tests.testing_env import GenericTestEnv  # noqa: E402
 
 
+class TestingNamedTuple(NamedTuple):
+    a: jax.Array
+    b: jax.Array
+
+
 @pytest.mark.parametrize(
     "value, expected_value",
     [
@@ -55,6 +61,16 @@
                 "b": {"c": np.array(5, dtype=np.int32)},
             },
         ),
+        (
+            TestingNamedTuple(
+                a=np.array([1, 2], dtype=np.int32),
+                b=np.array([1.0, 2.0], dtype=np.float32),
+            ),
+            TestingNamedTuple(
+                a=np.array([1, 2], dtype=np.int32),
+                b=np.array([1.0, 2.0], dtype=np.float32),
+            ),
+        ),
     ],
 )
 def test_roundtripping(value, expected_value):