diff --git a/sdks/python/apache_beam/transforms/ptransform.py b/sdks/python/apache_beam/transforms/ptransform.py
index c99d90e184e2..79d411790ba6 100644
--- a/sdks/python/apache_beam/transforms/ptransform.py
+++ b/sdks/python/apache_beam/transforms/ptransform.py
@@ -1112,6 +1112,9 @@ def __ror__(self, pvalueish, _unused=None):
   def expand(self, pvalue):
     raise RuntimeError("Should never be expanded directly.")
 
+  def annotations(self):
+    return self.transform.annotations()
+
   def __getattr__(self, attr):
     transform_attr = getattr(self.transform, attr)
     if callable(transform_attr):
@@ -1128,6 +1131,12 @@ def wrapper(*args, **kwargs):
     else:
       return transform_attr
 
+  def __setattr__(self, attr, value):
+    if attr == 'annotations':
+      self.transform.annotations = value
+    else:
+      super().__setattr__(attr, value)
+
 
 # Defined here to avoid circular import issues for Beam library transforms.
 def annotate_yaml(constructor):
diff --git a/sdks/python/apache_beam/transforms/ptransform_test.py b/sdks/python/apache_beam/transforms/ptransform_test.py
index 3134659549ed..4bcd07ad7b2c 100644
--- a/sdks/python/apache_beam/transforms/ptransform_test.py
+++ b/sdks/python/apache_beam/transforms/ptransform_test.py
@@ -101,6 +101,17 @@ def test_str(self):
         """inputs=('ci',) side_inputs=('cs',)>""",
         str(inputs_tr))
 
+  def test_named_annotations(self):
+    t = beam.Impulse()
+    t.annotations = lambda: {'test': 'value'}
+    named_t = 'Name' >> t
+    self.assertEqual(named_t.annotations(), {'test': 'value'})
+    original_annotations = named_t.annotations()
+    named_t.annotations = lambda: {'another': 'value', **original_annotations}
+    # Verify this is reflected on the original transform,
+    # which is what gets used in apply.
+    self.assertEqual(t.annotations(), {'test': 'value', 'another': 'value'})
+
   def test_do_with_do_fn(self):
     class AddNDoFn(beam.DoFn):
       def process(self, element, addon):