diff --git a/docs/source-fabric/api/fabric_methods.rst b/docs/source-fabric/api/fabric_methods.rst
index 315ba19576..568c92808a 100644
--- a/docs/source-fabric/api/fabric_methods.rst
+++ b/docs/source-fabric/api/fabric_methods.rst
@@ -108,6 +108,7 @@ This is useful if your model experiences *exploding gradients* during training.
     fabric.clip_gradients(model, optimizer, max_norm=2.0, norm_type="inf")
 
 The :meth:`~lightning.fabric.fabric.Fabric.clip_gradients` method is agnostic to the precision and strategy being used.
+If you pass `max_norm` as the argument, ``clip_gradients`` will return the total norm of the gradients (before clipping was applied) as a scalar tensor.
 
 
 to_device
diff --git a/src/lightning/fabric/fabric.py b/src/lightning/fabric/fabric.py
index bc07e633a9..4b270c8dc1 100644
--- a/src/lightning/fabric/fabric.py
+++ b/src/lightning/fabric/fabric.py
@@ -468,6 +468,10 @@ class Fabric:
                 Default is the 2-norm.
             error_if_nonfinite: An error is raised if the total norm of the gradients is NaN or infinite.
 
+        Return:
+            The total norm of the gradients (before clipping was applied) as a scalar tensor if ``max_norm`` was
+            passed, otherwise ``None``.
+
         """
         if clip_val is not None and max_norm is not None:
             raise ValueError(