diff --git a/pandas/_libs/src/datetime/pd_datetime.c b/pandas/_libs/src/datetime/pd_datetime.c
index 19de51be6e1b2..1a45c6883fa9d 100644
--- a/pandas/_libs/src/datetime/pd_datetime.c
+++ b/pandas/_libs/src/datetime/pd_datetime.c
@@ -71,7 +71,9 @@ static int convert_pydatetime_to_datetimestruct(PyObject *dtobj,
   out->min = PyLong_AsLong(PyObject_GetAttrString(obj, "minute"));
   out->sec = PyLong_AsLong(PyObject_GetAttrString(obj, "second"));
   out->us = PyLong_AsLong(PyObject_GetAttrString(obj, "microsecond"));
-
+  if (PyObject_HasAttrString(obj, "nanosecond")) {
+    out->ps = 1000 * PyLong_AsLong(PyObject_GetAttrString(obj, "nanosecond"));
+  }
   if (PyObject_HasAttrString(obj, "tzinfo")) {
     PyObject *offset = extract_utc_offset(obj);
     /* Apply the time zone offset if datetime obj is tz-aware */
diff --git a/pandas/tests/io/json/test_pandas.py b/pandas/tests/io/json/test_pandas.py
index db120588b234c..73e52b35dc32e 100644
--- a/pandas/tests/io/json/test_pandas.py
+++ b/pandas/tests/io/json/test_pandas.py
@@ -1216,6 +1216,26 @@ def test_datetime_tz(self):
         s_naive = Series(tz_naive)
         assert stz.to_json() == s_naive.to_json()
 
+    def test_tz_nano_datetimes(self):
+        df = DataFrame(
+            {
+                "date": Series(
+                    [
+                        datetime.datetime(
+                            2024, 1, 1, 0, 0, 0, 000000, tzinfo=datetime.timezone.utc
+                        )
+                    ]
+                )
+            }
+        )
+        df.date = df.date + np.timedelta64(1, "ns")
+        buf = StringIO()
+        df.to_json(buf, date_unit="ns", orient="columns", date_format="iso")
+        buf.seek(0)
+        tm.assert_frame_equal(
+            read_json(buf), df, check_index_type=False, check_dtype=False
+        )
+
     def test_sparse(self):
         # GH4377 df.to_json segfaults with non-ndarray blocks
         df = DataFrame(np.random.default_rng(2).standard_normal((10, 4)))