diff --git a/pandas/core/arrays/base.py b/pandas/core/arrays/base.py
index cc9b2ce3fed42..050af9e90a177 100644
--- a/pandas/core/arrays/base.py
+++ b/pandas/core/arrays/base.py
@@ -780,9 +780,11 @@ def fillna(
             Alternatively, an array-like 'value' can be given. It's expected
             that the array-like have the same length as 'self'.
         method : {'backfill', 'bfill', 'pad', 'ffill', None}, default None
-            Method to use for filling holes in reindexed Series
-            pad / ffill: propagate last valid observation forward to next valid
-            backfill / bfill: use NEXT valid observation to fill gap.
+            Method to use for filling holes in reindexed Series:
+
+            * pad / ffill: propagate last valid observation forward to next valid.
+            * backfill / bfill: use NEXT valid observation to fill gap.
+
         limit : int, default None
             If method is specified, this is the maximum number of consecutive
             NaN values to forward/backward fill. In other words, if there is
diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index c8f30c12d321f..1df1acd9d9983 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -6649,9 +6649,11 @@ def fillna(
             in the dict/Series/DataFrame will not be filled. This value cannot
             be a list.
         method : {{'backfill', 'bfill', 'ffill', None}}, default None
-            Method to use for filling holes in reindexed Series
-            ffill: propagate last valid observation forward to next valid
-            backfill / bfill: use next valid observation to fill gap.
+            Method to use for filling holes in reindexed Series:
+
+            * ffill: propagate last valid observation forward to next valid.
+            * backfill / bfill: use next valid observation to fill gap.
+
         axis : {axes_single_arg}
             Axis along which to fill missing values. For `Series`
             this parameter is unused and defaults to 0.