diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index 3dc6aed56fa24..40699854ab0f3 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -601,7 +601,9 @@ def _dtype_to_subclass(cls, dtype: DtypeObj):
     # See each method's docstring.
 
     @classmethod
-    def _simple_new(cls: type[_IndexT], values, name: Hashable = None) -> _IndexT:
+    def _simple_new(
+        cls: type[_IndexT], values: ArrayLike, name: Hashable = None
+    ) -> _IndexT:
         """
         We require that we have a dtype compat for the values. If we are passed
         a non-dtype compat, then coerce using the constructor.
diff --git a/pandas/core/indexes/range.py b/pandas/core/indexes/range.py
index 1937cd4254790..a9b35b99e4b51 100644
--- a/pandas/core/indexes/range.py
+++ b/pandas/core/indexes/range.py
@@ -167,8 +167,13 @@ def from_range(
         cls._validate_dtype(dtype)
         return cls._simple_new(data, name=name)
 
+    #  error: Argument 1 of "_simple_new" is incompatible with supertype "Index";
+    #  supertype defines the argument type as
+    #  "Union[ExtensionArray, ndarray[Any, Any]]"  [override]
     @classmethod
-    def _simple_new(cls, values: range, name: Hashable = None) -> RangeIndex:
+    def _simple_new(  # type: ignore[override]
+        cls, values: range, name: Hashable = None
+    ) -> RangeIndex:
         result = object.__new__(cls)
 
         assert isinstance(values, range)