diff --git a/ivy/functional/frontends/jax/devicearray.py b/ivy/functional/frontends/jax/devicearray.py
index b04cecb8a1095..dabd2464a1f7a 100644
--- a/ivy/functional/frontends/jax/devicearray.py
+++ b/ivy/functional/frontends/jax/devicearray.py
@@ -41,6 +41,10 @@ def shape(self):
     def at(self):
         return jax_frontend._src.numpy.lax_numpy._IndexUpdateHelper(self.ivy_array)
 
+    @property
+    def T(self):
+        return self.ivy_array.T
+
     # Instance Methods #
     # ---------------- #
 
diff --git a/ivy_tests/test_ivy/test_frontends/test_jax/test_devicearray.py b/ivy_tests/test_ivy/test_frontends/test_jax/test_devicearray.py
index a2401a4c69a30..9089fbb60a565 100644
--- a/ivy_tests/test_ivy/test_frontends/test_jax/test_devicearray.py
+++ b/ivy_tests/test_ivy/test_frontends/test_jax/test_devicearray.py
@@ -59,6 +59,30 @@ def test_jax_devicearray_property_shape(
     assert x.shape == shape
 
 
+@st.composite
+def _transpose_helper(draw):
+    dtype_x = draw(
+        helpers.dtype_and_values(
+            available_dtypes=helpers.get_dtypes("valid", prune_function=False),
+            min_num_dims=2,
+            max_num_dims=2,
+            min_dim_size=2,
+        )
+    )
+
+    _, data = dtype_x
+    x = data[0]
+    xT = np.transpose(x)
+    return x, xT
+
+
+@given(x_transpose=_transpose_helper())
+def test_jax_devicearray_property_T(x_transpose):
+    x, xT = x_transpose
+    x = DeviceArray(x)
+    assert np.array_equal(x.T, xT)
+
+
 @st.composite
 def _at_helper(draw):
     _, data, shape = draw(