diff --git a/pandas/core/arrays/numeric.py b/pandas/core/arrays/numeric.py
index 80fbbf99a5494..2829d092ebba4 100644
--- a/pandas/core/arrays/numeric.py
+++ b/pandas/core/arrays/numeric.py
@@ -139,10 +139,9 @@ def _safe_cast(cls, values: np.ndarray, dtype: np.dtype, copy: bool) -> np.ndarr
         raise AbstractMethodError(cls)
 
 
-def _coerce_to_data_and_mask(
-    values, dtype, copy: bool, dtype_cls: type[NumericDtype], default_dtype: np.dtype
-):
+def _coerce_to_data_and_mask(values, dtype, copy: bool, dtype_cls: type[NumericDtype]):
     checker = dtype_cls._checker
+    default_dtype = dtype_cls._default_np_dtype
 
     mask = None
     inferred_type = None
@@ -163,7 +162,7 @@ def _coerce_to_data_and_mask(
         if copy:
             values = values.copy()
             mask = mask.copy()
-        return values, mask, dtype, inferred_type
+        return values, mask
 
     original = values
     if not copy:
@@ -174,6 +173,7 @@ def _coerce_to_data_and_mask(
     if values.dtype == object or is_string_dtype(values.dtype):
         inferred_type = lib.infer_dtype(values, skipna=True)
         if inferred_type == "boolean" and dtype is None:
+            # object dtype array of bools
             name = dtype_cls.__name__.strip("_")
             raise TypeError(f"{values.dtype} cannot be converted to {name}")
 
@@ -252,7 +252,7 @@ def _coerce_to_data_and_mask(
         values = values.astype(dtype, copy=copy)
     else:
         values = dtype_cls._safe_cast(values, dtype, copy=False)
-    return values, mask, dtype, inferred_type
+    return values, mask
 
 
 class NumericArray(BaseMaskedArray):
@@ -296,10 +296,7 @@ def _coerce_to_array(
         cls, value, *, dtype: DtypeObj, copy: bool = False
     ) -> tuple[np.ndarray, np.ndarray]:
         dtype_cls = cls._dtype_cls
-        default_dtype = dtype_cls._default_np_dtype
-        values, mask, _, _ = _coerce_to_data_and_mask(
-            value, dtype, copy, dtype_cls, default_dtype
-        )
+        values, mask = _coerce_to_data_and_mask(value, dtype, copy, dtype_cls)
         return values, mask
 
     @classmethod