diff --git a/doc/source/whatsnew/v0.19.2.txt b/doc/source/whatsnew/v0.19.2.txt
index 4cd58f0148ae8..c9056054fb1d7 100644
--- a/doc/source/whatsnew/v0.19.2.txt
+++ b/doc/source/whatsnew/v0.19.2.txt
@@ -38,6 +38,7 @@ Other Enhancements
 Bug Fixes
 ~~~~~~~~~
 
+- Bug in fillna() in which timezone aware datetime64 values were incorrectly rounded (:issue:'14872')
 - Compat with ``dateutil==2.6.0``; segfault reported in the testing suite (:issue:`14621`)
 - Allow ``nanoseconds`` in ``Timestamp.replace`` as a kwarg (:issue:`14621`)
 - Bug in ``pd.read_csv`` in which aliasing was being done for ``na_values`` when passed in as a dictionary (:issue:`14203`)
diff --git a/pandas/core/missing.py b/pandas/core/missing.py
index f1191ff1c7009..e83a0518d97f6 100644
--- a/pandas/core/missing.py
+++ b/pandas/core/missing.py
@@ -10,9 +10,8 @@
 from pandas.compat import range, string_types
 from pandas.types.common import (is_numeric_v_string_like,
                                  is_float_dtype, is_datetime64_dtype,
-                                 is_integer_dtype, _ensure_float64,
-                                 is_scalar,
-                                 _DATELIKE_DTYPES,
+                                 is_datetime64tz_dtype, is_integer_dtype,
+                                 _ensure_float64, is_scalar,
                                  needs_i8_conversion)
 from pandas.types.missing import isnull
 
@@ -450,7 +449,7 @@ def pad_1d(values, limit=None, mask=None, dtype=None):
     _method = None
     if is_float_dtype(values):
         _method = getattr(algos, 'pad_inplace_%s' % dtype.name, None)
-    elif dtype in _DATELIKE_DTYPES or is_datetime64_dtype(values):
+    elif is_datetime64_dtype(dtype) or is_datetime64tz_dtype(dtype):
         _method = _pad_1d_datetime
     elif is_integer_dtype(values):
         values = _ensure_float64(values)
@@ -475,7 +474,7 @@ def backfill_1d(values, limit=None, mask=None, dtype=None):
     _method = None
     if is_float_dtype(values):
         _method = getattr(algos, 'backfill_inplace_%s' % dtype.name, None)
-    elif dtype in _DATELIKE_DTYPES or is_datetime64_dtype(values):
+    elif is_datetime64_dtype(dtype) or is_datetime64tz_dtype(dtype):
         _method = _backfill_1d_datetime
     elif is_integer_dtype(values):
         values = _ensure_float64(values)
@@ -501,7 +500,7 @@ def pad_2d(values, limit=None, mask=None, dtype=None):
     _method = None
     if is_float_dtype(values):
         _method = getattr(algos, 'pad_2d_inplace_%s' % dtype.name, None)
-    elif dtype in _DATELIKE_DTYPES or is_datetime64_dtype(values):
+    elif is_datetime64_dtype(dtype) or is_datetime64tz_dtype(dtype):
         _method = _pad_2d_datetime
     elif is_integer_dtype(values):
         values = _ensure_float64(values)
@@ -531,7 +530,7 @@ def backfill_2d(values, limit=None, mask=None, dtype=None):
     _method = None
     if is_float_dtype(values):
         _method = getattr(algos, 'backfill_2d_inplace_%s' % dtype.name, None)
-    elif dtype in _DATELIKE_DTYPES or is_datetime64_dtype(values):
+    elif is_datetime64_dtype(dtype) or is_datetime64tz_dtype(dtype):
         _method = _backfill_2d_datetime
     elif is_integer_dtype(values):
         values = _ensure_float64(values)
diff --git a/pandas/tests/series/test_missing.py b/pandas/tests/series/test_missing.py
index 5666a07cad4b8..58f50ffbf08f5 100644
--- a/pandas/tests/series/test_missing.py
+++ b/pandas/tests/series/test_missing.py
@@ -17,6 +17,9 @@
 
 from .common import TestData
 
+import datetime
+import pytz
+
 
 def _skip_if_no_pchip():
     try:
@@ -908,6 +911,24 @@ def test_interp_timedelta64(self):
                           index=pd.to_timedelta([1, 2, 4]))
         assert_series_equal(result, expected)
 
+    # GH 14872
+    def test_dtype_utc(self):
+
+        data = pd.Series([pd.NaT, pd.NaT,
+                          datetime.datetime(2016, 12, 12, 22, 24, 6, 100001,
+                                            tzinfo=pytz.utc)])
+
+        filled = data.fillna(method='bfill')
+
+        expected = pd.Series([
+                             datetime.datetime(2016, 12, 12, 22, 24, 6,
+                                               100001, tzinfo=pytz.utc),
+                             datetime.datetime(2016, 12, 12, 22, 24, 6,
+                                               100001, tzinfo=pytz.utc),
+                             datetime.datetime(2016, 12, 12, 22, 24, 6,
+                                               100001, tzinfo=pytz.utc)])
+
+        assert_series_equal(filled, expected)
 
 if __name__ == '__main__':
     import nose
diff --git a/pandas/types/common.py b/pandas/types/common.py
index 754ff80924c07..5d161efa838de 100644
--- a/pandas/types/common.py
+++ b/pandas/types/common.py
@@ -22,6 +22,7 @@
 _NS_DTYPE = np.dtype('M8[ns]')
 _TD_DTYPE = np.dtype('m8[ns]')
 _INT64_DTYPE = np.dtype(np.int64)
+
 _DATELIKE_DTYPES = set([np.dtype(t)
                         for t in ['M8[ns]', '<M8[ns]', '>M8[ns]',
                                   'm8[ns]', '<m8[ns]', '>m8[ns]']])