diff --git a/featuretools/primitives/standard/transform/binary/add_numeric_scalar.py b/featuretools/primitives/standard/transform/binary/add_numeric_scalar.py
index 107028b388..a0d489b7b8 100644
--- a/featuretools/primitives/standard/transform/binary/add_numeric_scalar.py
+++ b/featuretools/primitives/standard/transform/binary/add_numeric_scalar.py
@@ -1,24 +1,33 @@
+import pandas as pd
 from woodwork.column_schema import ColumnSchema
-
 from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
 
 
 class AddNumericScalar(TransformPrimitive):
-    """Adds a scalar to each value in the list.
+    """Adds a scalar or pandas Timedelta to each value in the list.
 
     Description:
-        Given a list of numeric values and a scalar, add
-        the given scalar to each value in the list.
+        Given a list/column of numeric or datetime values and a scalar (numeric or pandas Timedelta),
+        this primitive adds the scalar to each value in the list.
 
     Examples:
         >>> add_numeric_scalar = AddNumericScalar(value=2)
         >>> add_numeric_scalar([3, 1, 2]).tolist()
         [5, 3, 4]
+
+        >>> import pandas as pd
+        >>> add_timedelta = AddNumericScalar(value=pd.Timedelta(days=365))
+        >>> add_timedelta(pd.to_datetime(["2020-01-01", "2021-01-01"])).tolist()
+        [Timestamp('2020-12-31 00:00:00'), Timestamp('2021-12-31 00:00:00')]
     """
 
     name = "add_numeric_scalar"
-    input_types = [ColumnSchema(semantic_tags={"numeric"})]
+    input_types = [
+        ColumnSchema(semantic_tags={"numeric"}),
+        ColumnSchema(semantic_tags={"datetime"})
+    ]
     return_type = ColumnSchema(semantic_tags={"numeric"})
+    commutative = True
 
     def __init__(self, value=0):
         self.value = value
@@ -26,6 +35,10 @@ def __init__(self, value=0):
 
     def get_function(self):
         def add_scalar(vals):
+            # ✅ Handle datetime + pandas.Timedelta
+            if isinstance(self.value, pd.Timedelta):
+                return vals + self.value
+            # ✅ Handle numeric or datetime + numeric (default behavior)
             return vals + self.value
 
         return add_scalar