diff --git a/src/numpy-stubs/__init__.pyi b/src/numpy-stubs/__init__.pyi
index 7facd328..8708379f 100644
--- a/src/numpy-stubs/__init__.pyi
+++ b/src/numpy-stubs/__init__.pyi
@@ -814,7 +814,7 @@ _OrderKACF: TypeAlias = L["K", "A", "C", "F"] | None
 
 _FutureScalar: TypeAlias = L["bytes", "str", "object"]
 _ByteOrderChar: TypeAlias = L["<", ">", "=", "|"]
-_CastingKind: TypeAlias = L["no", "equiv", "safe", "same_kind", "unsafe"]
+_CastingKind: TypeAlias = L["no", "equiv", "safe", "same_kind", "unsafe", "same_value"]
 _ModeKind: TypeAlias = L["raise", "wrap", "clip"]
 _PartitionKind: TypeAlias = L["introselect"]
 _SortSide: TypeAlias = L["left", "right"]
diff --git a/src/numpy-stubs/_core/einsumfunc.pyi b/src/numpy-stubs/_core/einsumfunc.pyi
index 158d746f..fd27c45e 100644
--- a/src/numpy-stubs/_core/einsumfunc.pyi
+++ b/src/numpy-stubs/_core/einsumfunc.pyi
@@ -27,7 +27,7 @@ _ArrayT = TypeVar("_ArrayT", bound=_nt.Array[_nt.co_complex])
 
 # TODO (@jorenham): Annotate the `Sequence` value (numpy/numtype#724)
 _OptimizeKind: TypeAlias = bool | Literal["greedy", "optimal"] | Sequence[str | tuple[int, ...]]
-_CastingSafe: TypeAlias = Literal["no", "equiv", "safe", "same_kind"]
+_CastingSafe: TypeAlias = Literal["no", "equiv", "safe", "same_kind", "same_value"]
 _CastingUnsafe: TypeAlias = Literal["unsafe"]
 
 # TODO: Properly handle the `casting`-based combinatorics