diff --git a/pandas-stubs/core/indexes/accessors.pyi b/pandas-stubs/core/indexes/accessors.pyi
index c7b7d612f..5097b2061 100644
--- a/pandas-stubs/core/indexes/accessors.pyi
+++ b/pandas-stubs/core/indexes/accessors.pyi
@@ -45,7 +45,15 @@ class Properties(PandasDelegate, PandasObject, NoNewAttributesMixin):
 
 _DTFieldOpsReturnType = TypeVar("_DTFieldOpsReturnType", Series[int], IntegerIndex)
 
-class _DatetimeFieldOps(Generic[_DTFieldOpsReturnType]):
+class _DatetimeFieldOps(
+    _DayLikeFieldOps[_DTFieldOpsReturnType], _MiniSeconds[_DTFieldOpsReturnType]
+): ...
+class PeriodIndexFieldOps(
+    _DayLikeFieldOps[IntegerIndex],
+    _PeriodProperties[DatetimeIndex, IntegerIndex, Index, DatetimeIndex, PeriodIndex],
+): ...
+
+class _DayLikeFieldOps(Generic[_DTFieldOpsReturnType]):
     @property
     def year(self) -> _DTFieldOpsReturnType: ...
     @property
@@ -74,6 +82,8 @@ class _DatetimeFieldOps(Generic[_DTFieldOpsReturnType]):
     def days_in_month(self) -> _DTFieldOpsReturnType: ...
     @property
     def daysinmonth(self) -> _DTFieldOpsReturnType: ...
+
+class _MiniSeconds(Generic[_DTFieldOpsReturnType]):
     @property
     def microsecond(self) -> _DTFieldOpsReturnType: ...
     @property
@@ -295,28 +305,44 @@ class TimedeltaProperties(
     _DatetimeRoundingMethods[TimedeltaSeries],
 ): ...
 
-class _PeriodProperties:
+_PeriodDTReturnTypes = TypeVar("_PeriodDTReturnTypes", TimestampSeries, DatetimeIndex)
+_PeriodIntReturnTypes = TypeVar("_PeriodIntReturnTypes", Series[int], IntegerIndex)
+_PeriodStrReturnTypes = TypeVar("_PeriodStrReturnTypes", Series[str], Index)
+_PeriodDTAReturnTypes = TypeVar("_PeriodDTAReturnTypes", DatetimeArray, DatetimeIndex)
+_PeriodPAReturnTypes = TypeVar("_PeriodPAReturnTypes", PeriodArray, PeriodIndex)
+
+class _PeriodProperties(
+    Generic[
+        _PeriodDTReturnTypes,
+        _PeriodIntReturnTypes,
+        _PeriodStrReturnTypes,
+        _PeriodDTAReturnTypes,
+        _PeriodPAReturnTypes,
+    ]
+):
     @property
-    def start_time(self) -> TimestampSeries: ...
+    def start_time(self) -> _PeriodDTReturnTypes: ...
     @property
-    def end_time(self) -> TimestampSeries: ...
+    def end_time(self) -> _PeriodDTReturnTypes: ...
     @property
-    def qyear(self) -> Series[int]: ...
-    def strftime(self, date_format: str) -> Series[str]: ...
+    def qyear(self) -> _PeriodIntReturnTypes: ...
+    def strftime(self, date_format: str) -> _PeriodStrReturnTypes: ...
     def to_timestamp(
         self,
         freq: str | DateOffset | None = ...,
         how: TimestampConvention = ...,
-    ) -> DatetimeArray: ...
+    ) -> _PeriodDTAReturnTypes: ...
     def asfreq(
         self,
         freq: str | DateOffset | None = ...,
         how: Literal["E", "END", "FINISH", "S", "START", "BEGIN"] = ...,
-    ) -> PeriodArray: ...
+    ) -> _PeriodPAReturnTypes: ...
 
 class PeriodProperties(
     Properties,
-    _PeriodProperties,
+    _PeriodProperties[
+        TimestampSeries, Series[int], Series[str], DatetimeArray, PeriodArray
+    ],
     _DatetimeFieldOps[Series[int]],
     _IsLeapYearProperty,
     _FreqProperty[BaseOffset],
diff --git a/pandas-stubs/core/indexes/datetimelike.pyi b/pandas-stubs/core/indexes/datetimelike.pyi
index dc66aa0fc..073af7855 100644
--- a/pandas-stubs/core/indexes/datetimelike.pyi
+++ b/pandas-stubs/core/indexes/datetimelike.pyi
@@ -6,7 +6,8 @@ from pandas._libs.tslibs import BaseOffset
 class DatetimeIndexOpsMixin(ExtensionIndex):
     @property
     def freq(self) -> BaseOffset | None: ...
-    freqstr: str | None
+    @property
+    def freqstr(self) -> str | None: ...
     @property
     def is_all_dates(self) -> bool: ...
     @property
diff --git a/pandas-stubs/core/indexes/period.pyi b/pandas-stubs/core/indexes/period.pyi
index b7dd8eac3..dc1ab02a6 100644
--- a/pandas-stubs/core/indexes/period.pyi
+++ b/pandas-stubs/core/indexes/period.pyi
@@ -4,6 +4,7 @@ from typing import overload
 import numpy as np
 import pandas as pd
 from pandas import Index
+from pandas.core.indexes.accessors import PeriodIndexFieldOps
 from pandas.core.indexes.datetimelike import (
     DatetimeIndexOpsMixin as DatetimeIndexOpsMixin,
 )
@@ -15,7 +16,7 @@ from pandas._libs.tslibs import (
     Period,
 )
 
-class PeriodIndex(DatetimeIndexOpsMixin, Int64Index):
+class PeriodIndex(DatetimeIndexOpsMixin, Int64Index, PeriodIndexFieldOps):
     def __new__(
         cls,
         data=...,
@@ -61,6 +62,8 @@ class PeriodIndex(DatetimeIndexOpsMixin, Int64Index):
     def intersection(self, other, sort: bool = ...): ...
     def difference(self, other, sort=...): ...
     def memory_usage(self, deep: bool = ...): ...
+    @property
+    def freqstr(self) -> str: ...
 
 def period_range(
     start: str | pd.Period | None = ...,
diff --git a/tests/test_timefuncs.py b/tests/test_timefuncs.py
index 23e3e2839..3dd4ffdec 100644
--- a/tests/test_timefuncs.py
+++ b/tests/test_timefuncs.py
@@ -528,6 +528,37 @@ def test_timedeltaindex_accessors() -> None:
     check(assert_type(i0.ceil("D"), pd.TimedeltaIndex), pd.TimedeltaIndex, pd.Timedelta)
 
 
+def test_periodindex_accessors() -> None:
+    # GH 395
+
+    i0 = pd.period_range(start="2022-06-01", periods=10)
+    check(assert_type(i0, pd.PeriodIndex), pd.PeriodIndex, pd.Period)
+
+    check(assert_type(i0.year, IntegerIndex), IntegerIndex, int)
+    check(assert_type(i0.month, IntegerIndex), IntegerIndex, int)
+    check(assert_type(i0.day, IntegerIndex), IntegerIndex, int)
+    check(assert_type(i0.hour, IntegerIndex), IntegerIndex, int)
+    check(assert_type(i0.minute, IntegerIndex), IntegerIndex, int)
+    check(assert_type(i0.second, IntegerIndex), IntegerIndex, int)
+    check(assert_type(i0.dayofweek, IntegerIndex), IntegerIndex, int)
+    check(assert_type(i0.day_of_week, IntegerIndex), IntegerIndex, int)
+    check(assert_type(i0.weekday, IntegerIndex), IntegerIndex, int)
+    check(assert_type(i0.dayofyear, IntegerIndex), IntegerIndex, int)
+    check(assert_type(i0.day_of_year, IntegerIndex), IntegerIndex, int)
+    check(assert_type(i0.quarter, IntegerIndex), IntegerIndex, int)
+    check(assert_type(i0.daysinmonth, IntegerIndex), IntegerIndex, int)
+    check(assert_type(i0.days_in_month, IntegerIndex), IntegerIndex, int)
+    check(assert_type(i0.freq, Optional[BaseOffset]), BaseOffset)
+    check(assert_type(i0.strftime("%Y"), pd.Index), pd.Index, str)
+    check(assert_type(i0.asfreq("D"), pd.PeriodIndex), pd.PeriodIndex, pd.Period)
+    check(assert_type(i0.end_time, pd.DatetimeIndex), pd.DatetimeIndex, pd.Timestamp)
+    check(assert_type(i0.start_time, pd.DatetimeIndex), pd.DatetimeIndex, pd.Timestamp)
+    check(
+        assert_type(i0.to_timestamp(), pd.DatetimeIndex), pd.DatetimeIndex, pd.Timestamp
+    )
+    check(assert_type(i0.freqstr, str), str)
+
+
 def test_some_offsets() -> None:
     # GH 222
     check(