diff --git a/pandas/core/interchange/column.py b/pandas/core/interchange/column.py
index 7eb43dbd074c9..fea96d861f12c 100644
--- a/pandas/core/interchange/column.py
+++ b/pandas/core/interchange/column.py
@@ -11,6 +11,7 @@
 
 import pandas as pd
 from pandas.api.types import is_string_dtype
+from pandas.core.arrays.arrow.dtype import ArrowDtype
 from pandas.core.interchange.buffer import PandasBuffer
 from pandas.core.interchange.dataframe_protocol import (
     Column,
@@ -134,8 +135,12 @@ def _dtype_from_pandasdtype(self, dtype) -> tuple[DtypeKind, int, str, str]:
         if kind is None:
             # Not a NumPy dtype. Check if it's a categorical maybe
             raise ValueError(f"Data type {dtype} not supported by interchange protocol")
+        if isinstance(dtype, ArrowDtype):
+            byteorder = dtype.numpy_dtype.byteorder
+        else:
+            byteorder = dtype.byteorder
 
-        return kind, dtype.itemsize * 8, dtype_to_arrow_c_fmt(dtype), dtype.byteorder
+        return kind, dtype.itemsize * 8, dtype_to_arrow_c_fmt(dtype), byteorder
 
     @property
     def describe_categorical(self):
diff --git a/pandas/core/interchange/utils.py b/pandas/core/interchange/utils.py
index 89599818d6814..70485956c1b31 100644
--- a/pandas/core/interchange/utils.py
+++ b/pandas/core/interchange/utils.py
@@ -13,10 +13,47 @@
 
 from pandas.core.dtypes.dtypes import CategoricalDtype
 
+from pandas.core.arrays.arrow.dtype import ArrowDtype
+
 if typing.TYPE_CHECKING:
     from pandas._typing import DtypeObj
 
 
+# Maps str(pyarrow.DataType) = C type format string
+# Currently, no pyarrow API for this
+PYARROW_CTYPES = {
+    "null": "n",
+    "bool": "b",
+    "uint8": "C",
+    "uint16": "S",
+    "uint32": "I",
+    "uint64": "L",
+    "int8": "c",
+    "int16": "S",
+    "int32": "i",
+    "int64": "l",
+    "halffloat": "e",  # float16
+    "float": "f",  # float32
+    "double": "g",  # float64
+    "string": "u",
+    "binary": "z",
+    "time32[s]": "tts",
+    "time32[ms]": "ttm",
+    "time64[us]": "ttu",
+    "time64[ns]": "ttn",
+    "date32[day]": "tdD",
+    "date64[ms]": "tdm",
+    "timestamp[s]": "tss:",
+    "timestamp[ms]": "tsm:",
+    "timestamp[us]": "tsu:",
+    "timestamp[ns]": "tsn:",
+    "duration[s]": "tDs",
+    "duration[ms]": "tDm",
+    "duration[us]": "tDu",
+    "duration[ns]": "tDn",
+}
+
+
 class ArrowCTypes:
     """
     Enum for Apache Arrow C type format strings.
@@ -77,6 +114,17 @@ def dtype_to_arrow_c_fmt(dtype: DtypeObj) -> str:
         return ArrowCTypes.INT64
     elif dtype == np.dtype("O"):
         return ArrowCTypes.STRING
+    elif isinstance(dtype, ArrowDtype):
+        import pyarrow as pa
+
+        pa_type = dtype.pyarrow_dtype
+        if pa.types.is_decimal(pa_type):
+            return f"d:{pa_type.precision},{pa_type.scale}"
+        elif pa.types.is_timestamp(pa_type) and pa_type.tz is not None:
+            return f"ts{pa_type.unit[0]}:{pa_type.tz}"
+        format_str = PYARROW_CTYPES.get(str(pa_type), None)
+        if format_str is not None:
+            return format_str
 
     format_str = getattr(ArrowCTypes, dtype.name.upper(), None)
     if format_str is not None:
diff --git a/pandas/tests/interchange/test_utils.py b/pandas/tests/interchange/test_utils.py
index 4fd42abb7f3f1..a47bc2752ff32 100644
--- a/pandas/tests/interchange/test_utils.py
+++ b/pandas/tests/interchange/test_utils.py
@@ -38,3 +38,52 @@
 def test_dtype_to_arrow_c_fmt(pandas_dtype, c_string):  # PR01
     """Test ``dtype_to_arrow_c_fmt`` utility function."""
     assert dtype_to_arrow_c_fmt(pandas_dtype) == c_string
+
+
+@pytest.mark.parametrize(
+    "pa_dtype, args_kwargs, c_string",
+    [
+        ["null", {}, "n"],
+        ["bool_", {}, "b"],
+        ["uint8", {}, "C"],
+        ["uint16", {}, "S"],
+        ["uint32", {}, "I"],
+        ["uint64", {}, "L"],
+        ["int8", {}, "c"],
+        ["int16", {}, "S"],
+        ["int32", {}, "i"],
+        ["int64", {}, "l"],
+        ["float16", {}, "e"],
+        ["float32", {}, "f"],
+        ["float64", {}, "g"],
+        ["string", {}, "u"],
+        ["binary", {}, "z"],
+        ["time32", ("s",), "tts"],
+        ["time32", ("ms",), "ttm"],
+        ["time64", ("us",), "ttu"],
+        ["time64", ("ns",), "ttn"],
+        ["date32", {}, "tdD"],
+        ["date64", {}, "tdm"],
+        ["timestamp", {"unit": "s"}, "tss:"],
+        ["timestamp", {"unit": "ms"}, "tsm:"],
+        ["timestamp", {"unit": "us"}, "tsu:"],
+        ["timestamp", {"unit": "ns"}, "tsn:"],
+        ["timestamp", {"unit": "ns", "tz": "UTC"}, "tsn:UTC"],
+        ["duration", ("s",), "tDs"],
+        ["duration", ("ms",), "tDm"],
+        ["duration", ("us",), "tDu"],
+        ["duration", ("ns",), "tDn"],
+        ["decimal128", {"precision": 4, "scale": 2}, "d:4,2"],
+    ],
+)
+def test_dtype_to_arrow_c_fmt_arrowdtype(pa_dtype, args_kwargs, c_string):
+    # GH 52323
+    pa = pytest.importorskip("pyarrow")
+    if not args_kwargs:
+        pa_type = getattr(pa, pa_dtype)()
+    elif isinstance(args_kwargs, tuple):
+        pa_type = getattr(pa, pa_dtype)(*args_kwargs)
+    else:
+        pa_type = getattr(pa, pa_dtype)(**args_kwargs)
+    arrow_type = pd.ArrowDtype(pa_type)
+    assert dtype_to_arrow_c_fmt(arrow_type) == c_string