BUG: Fix precision loss in read_json

pandas/io/json/_json.py

@@ -1167,6 +1167,7 @@ def _try_convert_data(
         """
         Try to parse a Series into a column by inferring dtype.
         """
+        backup_data = data
         # don't try to coerce, unless a force conversion
         if use_dtypes:
             if not self.dtype:
@@ -1221,7 +1222,7 @@ def _try_convert_data(
         if len(data) and data.dtype in ("float", "object"):
             # coerce ints if we can
             try:
-                new_data = data.astype("int64")
+                new_data = backup_data.astype("int64")
                 if (new_data == data).all():
                     data = new_data
                     converted = True

pandas/tests/io/json/test_large_number.py

@@ -0,0 +1,6 @@
+from io import StringIO
+import pytest
+import pandas as pd
+
+def test_large_number():
+    assert pd.read_json(StringIO('["9999999999999999"]'),orient="values",typ="series",convert_dates=False)[0] == 9999999999999999