diff --git a/doc/source/whatsnew/v1.6.0.rst b/doc/source/whatsnew/v1.6.0.rst
index 9f793532e5e6b..0c4b5ac88a4ac 100644
--- a/doc/source/whatsnew/v1.6.0.rst
+++ b/doc/source/whatsnew/v1.6.0.rst
@@ -169,7 +169,7 @@ Datetimelike
 
 Timedelta
 ^^^^^^^^^
--
+- Bug in :func:`to_timedelta` raising error when input has nullable dtype ``Float64`` (:issue:`48796`)
 -
 
 Timezones
diff --git a/pandas/core/arrays/timedeltas.py b/pandas/core/arrays/timedeltas.py
index 75e4ab6b37bf7..4c3e790c2879b 100644
--- a/pandas/core/arrays/timedeltas.py
+++ b/pandas/core/arrays/timedeltas.py
@@ -45,6 +45,7 @@
 from pandas.core.dtypes.common import (
     TD64NS_DTYPE,
     is_dtype_equal,
+    is_extension_array_dtype,
     is_float_dtype,
     is_integer_dtype,
     is_object_dtype,
@@ -909,7 +910,11 @@ def sequence_to_td64ns(
     elif is_float_dtype(data.dtype):
         # cast the unit, multiply base/frac separately
         # to avoid precision issues from float -> int
-        mask = np.isnan(data)
+        if is_extension_array_dtype(data):
+            mask = data._mask
+            data = data._data
+        else:
+            mask = np.isnan(data)
         # The next few lines are effectively a vectorized 'cast_from_unit'
         m, p = precision_from_unit(unit or "ns")
         base = data.astype(np.int64)
diff --git a/pandas/tests/tools/test_to_timedelta.py b/pandas/tests/tools/test_to_timedelta.py
index 488e266a1c5c1..13d663474aff0 100644
--- a/pandas/tests/tools/test_to_timedelta.py
+++ b/pandas/tests/tools/test_to_timedelta.py
@@ -278,3 +278,10 @@ def test_to_timedelta_zerodim(self, fixed_now_ts):
         result = to_timedelta(arg2)
         assert isinstance(result, pd.Timedelta)
         assert result.value == dt64.view("i8")
+
+    def test_to_timedelta_numeric_ea(self, any_numeric_ea_dtype):
+        # GH#48796
+        ser = Series([1, pd.NA], dtype=any_numeric_ea_dtype)
+        result = to_timedelta(ser)
+        expected = Series([pd.Timedelta(1, unit="ns"), pd.NaT])
+        tm.assert_series_equal(result, expected)