diff --git a/doc/source/user_guide/dsintro.rst b/doc/source/user_guide/dsintro.rst
index 571f8980070af..9aa6423908cfd 100644
--- a/doc/source/user_guide/dsintro.rst
+++ b/doc/source/user_guide/dsintro.rst
@@ -712,10 +712,8 @@ The ufunc is applied to the underlying array in a :class:`Series`.
    ser = pd.Series([1, 2, 3, 4])
    np.exp(ser)
 
-.. versionchanged:: 0.25.0
-
-   When multiple :class:`Series` are passed to a ufunc, they are aligned before
-   performing the operation.
+When multiple :class:`Series` are passed to a ufunc, they are aligned before
+performing the operation.
 
 Like other parts of the library, pandas will automatically align labeled inputs
 as part of a ufunc with multiple inputs. For example, using :meth:`numpy.remainder`
diff --git a/doc/source/user_guide/groupby.rst b/doc/source/user_guide/groupby.rst
index d8a36b1711b6e..1e2b6d6fe4c20 100644
--- a/doc/source/user_guide/groupby.rst
+++ b/doc/source/user_guide/groupby.rst
@@ -629,8 +629,6 @@ For a grouped ``DataFrame``, you can rename in a similar manner:
 Named aggregation
 ~~~~~~~~~~~~~~~~~
 
-.. versionadded:: 0.25.0
-
 To support column-specific aggregation *with control over the output column names*, pandas
 accepts the special syntax in :meth:`DataFrameGroupBy.agg` and :meth:`SeriesGroupBy.agg`, known as "named aggregation", where
 
diff --git a/doc/source/user_guide/io.rst b/doc/source/user_guide/io.rst
index f1c212b53a87a..d6a00022efb79 100644
--- a/doc/source/user_guide/io.rst
+++ b/doc/source/user_guide/io.rst
@@ -294,8 +294,6 @@ cache_dates : boolean, default True
   conversion. May produce significant speed-up when parsing duplicate
   date strings, especially ones with timezone offsets.
 
-  .. versionadded:: 0.25.0
-
 Iteration
 +++++++++
 
@@ -3829,8 +3827,6 @@ using the `odfpy <https://pypi.org/project/odfpy/>`__ module. The semantics and
 OpenDocument spreadsheets match what can be done for `Excel files`_ using
 ``engine='odf'``.
 
-.. versionadded:: 0.25
-
 The :func:`~pandas.read_excel` method can read OpenDocument spreadsheets
 
 .. code-block:: python
@@ -6134,8 +6130,6 @@ No official documentation is available for the SAS7BDAT format.
 SPSS formats
 ------------
 
-.. versionadded:: 0.25.0
-
 The top-level function :func:`read_spss` can read (but not write) SPSS
 SAV (.sav) and  ZSAV (.zsav) format files.
 
diff --git a/doc/source/user_guide/reshaping.rst b/doc/source/user_guide/reshaping.rst
index adca9de6c130a..1b8fdc75d5e88 100644
--- a/doc/source/user_guide/reshaping.rst
+++ b/doc/source/user_guide/reshaping.rst
@@ -890,8 +890,6 @@ Note to subdivide over multiple columns we can pass in a list to the
 Exploding a list-like column
 ----------------------------
 
-.. versionadded:: 0.25.0
-
 Sometimes the values in a column are list-like.
 
 .. ipython:: python
diff --git a/doc/source/user_guide/sparse.rst b/doc/source/user_guide/sparse.rst
index bc4eec1c23a35..c86208e70af3c 100644
--- a/doc/source/user_guide/sparse.rst
+++ b/doc/source/user_guide/sparse.rst
@@ -127,9 +127,6 @@ attributes and methods that are specific to sparse data.
 This accessor is available only on data with ``SparseDtype``, and on the :class:`Series`
 class itself for creating a Series with sparse data from a scipy COO matrix with.
 
-
-.. versionadded:: 0.25.0
-
 A ``.sparse`` accessor has been added for :class:`DataFrame` as well.
 See :ref:`api.frame.sparse` for more.
 
@@ -271,8 +268,6 @@ Interaction with *scipy.sparse*
 
 Use :meth:`DataFrame.sparse.from_spmatrix` to create a :class:`DataFrame` with sparse values from a sparse matrix.
 
-.. versionadded:: 0.25.0
-
 .. ipython:: python
 
    from scipy.sparse import csr_matrix
diff --git a/doc/source/user_guide/timeseries.rst b/doc/source/user_guide/timeseries.rst
index 474068e43a4d4..78134872fa4b8 100644
--- a/doc/source/user_guide/timeseries.rst
+++ b/doc/source/user_guide/timeseries.rst
@@ -647,8 +647,6 @@ We are stopping on the included end-point as it is part of the index:
    dft2 = dft2.swaplevel(0, 1).sort_index()
    dft2.loc[idx[:, "2013-01-05"], :]
 
-.. versionadded:: 0.25.0
-
 Slicing with string indexing also honors UTC offset.
 
 .. ipython:: python
@@ -2348,8 +2346,6 @@ To return ``dateutil`` time zone objects, append ``dateutil/`` before the string
    )
    rng_utc.tz
 
-.. versionadded:: 0.25.0
-
 .. ipython:: python
 
    # datetime.timezone
diff --git a/pandas/_libs/interval.pyx b/pandas/_libs/interval.pyx
index 5b2cb880195ec..fc2c486173b9d 100644
--- a/pandas/_libs/interval.pyx
+++ b/pandas/_libs/interval.pyx
@@ -126,8 +126,6 @@ cdef class IntervalMixin:
         """
         Indicates if an interval is empty, meaning it contains no points.
 
-        .. versionadded:: 0.25.0
-
         Returns
         -------
         bool or ndarray
diff --git a/pandas/_libs/tslibs/nattype.pyx b/pandas/_libs/tslibs/nattype.pyx
index 1f18f8cae4ae8..aa75c886a4491 100644
--- a/pandas/_libs/tslibs/nattype.pyx
+++ b/pandas/_libs/tslibs/nattype.pyx
@@ -265,8 +265,6 @@ cdef class _NaT(datetime):
         """
         Convert the Timestamp to a NumPy datetime64 or timedelta64.
 
-        .. versionadded:: 0.25.0
-
         With the default 'dtype', this is an alias method for `NaT.to_datetime64()`.
 
         The copy parameter is available here only for compatibility. Its value
diff --git a/pandas/_libs/tslibs/timedeltas.pyx b/pandas/_libs/tslibs/timedeltas.pyx
index fc276d5d024cd..618e0208154fa 100644
--- a/pandas/_libs/tslibs/timedeltas.pyx
+++ b/pandas/_libs/tslibs/timedeltas.pyx
@@ -1243,8 +1243,6 @@ cdef class _Timedelta(timedelta):
         """
         Convert the Timedelta to a NumPy timedelta64.
 
-        .. versionadded:: 0.25.0
-
         This is an alias method for `Timedelta.to_timedelta64()`. The dtype and
         copy parameters are available here only for compatibility. Their values
         will not affect the return value.
diff --git a/pandas/_libs/tslibs/timestamps.pyx b/pandas/_libs/tslibs/timestamps.pyx
index f987a2feb2717..108c884bba170 100644
--- a/pandas/_libs/tslibs/timestamps.pyx
+++ b/pandas/_libs/tslibs/timestamps.pyx
@@ -1090,8 +1090,6 @@ cdef class _Timestamp(ABCTimestamp):
         """
         Convert the Timestamp to a NumPy datetime64.
 
-        .. versionadded:: 0.25.0
-
         This is an alias method for `Timestamp.to_datetime64()`. The dtype and
         copy parameters are available here only for compatibility. Their values
         will not affect the return value.
diff --git a/pandas/core/algorithms.py b/pandas/core/algorithms.py
index cd719a5256ea3..de9e3ace4f0ca 100644
--- a/pandas/core/algorithms.py
+++ b/pandas/core/algorithms.py
@@ -1499,8 +1499,6 @@ def searchsorted(
     """
     Find indices where elements should be inserted to maintain order.
 
-    .. versionadded:: 0.25.0
-
     Find the indices into a sorted array `arr` (a) such that, if the
     corresponding elements in `value` were inserted before the indices,
     the order of `arr` would be preserved.
@@ -1727,8 +1725,6 @@ def safe_sort(
         codes equal to ``-1``. If ``verify=False``, it is assumed there
         are no out of bound codes. Ignored when ``codes`` is None.
 
-        .. versionadded:: 0.25.0
-
     Returns
     -------
     ordered : AnyArrayLike
diff --git a/pandas/core/arrays/categorical.py b/pandas/core/arrays/categorical.py
index a9af210e08741..030b1344d5348 100644
--- a/pandas/core/arrays/categorical.py
+++ b/pandas/core/arrays/categorical.py
@@ -1568,9 +1568,7 @@ def argsort(
         """
         Return the indices that would sort the Categorical.
 
-        .. versionchanged:: 0.25.0
-
-           Changed to sort missing values at the end.
+        Missing values are sorted at the end.
 
         Parameters
         ----------
diff --git a/pandas/core/arrays/datetimelike.py b/pandas/core/arrays/datetimelike.py
index be20d825b0c80..c0a65a97d31f8 100644
--- a/pandas/core/arrays/datetimelike.py
+++ b/pandas/core/arrays/datetimelike.py
@@ -1594,8 +1594,6 @@ def mean(self, *, skipna: bool = True, axis: AxisInt | None = 0):
         """
         Return the mean value of the Array.
 
-        .. versionadded:: 0.25.0
-
         Parameters
         ----------
         skipna : bool, default True
diff --git a/pandas/core/arrays/interval.py b/pandas/core/arrays/interval.py
index 5ebd882cd3a13..3028e276361d3 100644
--- a/pandas/core/arrays/interval.py
+++ b/pandas/core/arrays/interval.py
@@ -1596,8 +1596,6 @@ def repeat(
         Return a boolean mask whether the value is contained in the Intervals
         of the %(klass)s.
 
-        .. versionadded:: 0.25.0
-
         Parameters
         ----------
         other : scalar
diff --git a/pandas/core/arrays/sparse/accessor.py b/pandas/core/arrays/sparse/accessor.py
index 5149dc0973b79..1d5fd09034ae0 100644
--- a/pandas/core/arrays/sparse/accessor.py
+++ b/pandas/core/arrays/sparse/accessor.py
@@ -193,8 +193,6 @@ def to_dense(self) -> Series:
         """
         Convert a Series from sparse values to dense.
 
-        .. versionadded:: 0.25.0
-
         Returns
         -------
         Series:
@@ -227,8 +225,6 @@ def to_dense(self) -> Series:
 class SparseFrameAccessor(BaseAccessor, PandasDelegate):
     """
     DataFrame accessor for sparse data.
-
-    .. versionadded:: 0.25.0
     """
 
     def _validate(self, data):
@@ -241,8 +237,6 @@ def from_spmatrix(cls, data, index=None, columns=None) -> DataFrame:
         """
         Create a new DataFrame from a scipy sparse matrix.
 
-        .. versionadded:: 0.25.0
-
         Parameters
         ----------
         data : scipy.sparse.spmatrix
@@ -297,8 +291,6 @@ def to_dense(self) -> DataFrame:
         """
         Convert a DataFrame with sparse values to dense.
 
-        .. versionadded:: 0.25.0
-
         Returns
         -------
         DataFrame
@@ -322,8 +314,6 @@ def to_coo(self):
         """
         Return the contents of the frame as a sparse SciPy COO matrix.
 
-        .. versionadded:: 0.25.0
-
         Returns
         -------
         coo_matrix : scipy.sparse.spmatrix
diff --git a/pandas/core/arrays/sparse/array.py b/pandas/core/arrays/sparse/array.py
index 7dce02f362b47..033917fe9eb2d 100644
--- a/pandas/core/arrays/sparse/array.py
+++ b/pandas/core/arrays/sparse/array.py
@@ -530,8 +530,6 @@ def from_spmatrix(cls: type[SparseArrayT], data: spmatrix) -> SparseArrayT:
         """
         Create a SparseArray from a scipy.sparse matrix.
 
-        .. versionadded:: 0.25.0
-
         Parameters
         ----------
         data : scipy.sparse.sp_matrix
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index eb3365d4f8410..acdfaba3d8d86 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -489,8 +489,7 @@ class DataFrame(NDFrame, OpsMixin):
         occurs if data is a Series or a DataFrame itself. Alignment is done on
         Series/DataFrame inputs.
 
-        .. versionchanged:: 0.25.0
-           If data is a list of dicts, column order follows insertion-order.
+        If data is a list of dicts, column order follows insertion-order.
 
     index : Index or array-like
         Index to use for resulting frame. Will default to RangeIndex if
@@ -3151,9 +3150,7 @@ def to_html(
         header="Whether to print column labels, default True",
         col_space_type="str or int, list or dict of int or str",
         col_space="The minimum width of each column in CSS length "
-        "units.  An int is assumed to be px units.\n\n"
-        "            .. versionadded:: 0.25.0\n"
-        "                Ability to use str",
+        "units.  An int is assumed to be px units.",
     )
     @Substitution(shared_params=fmt.common_docstring, returns=fmt.return_docstring)
     def to_html(
@@ -4349,9 +4346,6 @@ def query(self, expr: str, inplace: bool = False, **kwargs) -> DataFrame | None:
             For example, if one of your columns is called ``a a`` and you want
             to sum it with ``b``, your query should be ```a a` + b``.
 
-            .. versionadded:: 0.25.0
-                Backtick quoting introduced.
-
             .. versionadded:: 1.0.0
                 Expanding functionality of backtick quoting for more than only spaces.
 
@@ -8493,8 +8487,6 @@ def pivot(
             If True: only show observed values for categorical groupers.
             If False: show all values for categorical groupers.
 
-            .. versionchanged:: 0.25.0
-
         sort : bool, default True
             Specifies if the result should be sorted.
 
@@ -8808,8 +8800,6 @@ def explode(
         """
         Transform each element of a list-like to a row, replicating index values.
 
-        .. versionadded:: 0.25.0
-
         Parameters
         ----------
         column : IndexLabel
diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index 0b55416d2bd7e..b962ca780f1d0 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -2916,8 +2916,6 @@ def union(self, other, sort=None):
         If the Index objects are incompatible, both Index objects will be
         cast to dtype('object') first.
 
-            .. versionchanged:: 0.25.0
-
         Parameters
         ----------
         other : Index or array-like
diff --git a/pandas/core/indexes/range.py b/pandas/core/indexes/range.py
index ae88b85aa06e1..a2281c6fd9540 100644
--- a/pandas/core/indexes/range.py
+++ b/pandas/core/indexes/range.py
@@ -607,8 +607,6 @@ def _union(self, other: Index, sort):
             increasing and other is fully contained in self. Otherwise, returns
             an unsorted ``Int64Index``
 
-            .. versionadded:: 0.25.0
-
         Returns
         -------
         union : Index
diff --git a/pandas/core/reshape/merge.py b/pandas/core/reshape/merge.py
index b6fa5da857910..7e0052cf896e4 100644
--- a/pandas/core/reshape/merge.py
+++ b/pandas/core/reshape/merge.py
@@ -256,7 +256,6 @@ def merge_ordered(
         `right` should be left as-is, with no suffix. At least one of the
         values must not be None.
 
-        .. versionchanged:: 0.25.0
     how : {'left', 'right', 'outer', 'inner'}, default 'outer'
         * left: use only keys from left frame (SQL: left outer join)
         * right: use only keys from right frame (SQL: right outer join)
diff --git a/pandas/core/series.py b/pandas/core/series.py
index 48bc07ca022ee..1e5f565934b50 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -4117,8 +4117,6 @@ def explode(self, ignore_index: bool = False) -> Series:
         """
         Transform each element of a list-like to a row.
 
-        .. versionadded:: 0.25.0
-
         Parameters
         ----------
         ignore_index : bool, default False
diff --git a/pandas/core/shared_docs.py b/pandas/core/shared_docs.py
index 07dc203e556e8..147fa622fdedc 100644
--- a/pandas/core/shared_docs.py
+++ b/pandas/core/shared_docs.py
@@ -551,9 +551,6 @@
         The method to use when for replacement, when `to_replace` is a
         scalar, list or tuple and `value` is ``None``.
 
-        .. versionchanged:: 0.23.0
-            Added to DataFrame.
-
     Returns
     -------
     {klass}
diff --git a/pandas/core/strings/accessor.py b/pandas/core/strings/accessor.py
index 8cd4cb976503d..9ac2e538b6a80 100644
--- a/pandas/core/strings/accessor.py
+++ b/pandas/core/strings/accessor.py
@@ -456,7 +456,6 @@ def cat(
             to match the length of the calling Series/Index). To disable
             alignment, use `.values` on any Series/Index/DataFrame in `others`.
 
-            .. versionadded:: 0.23.0
             .. versionchanged:: 1.0.0
                 Changed default of `join` from None to `'left'`.
 
@@ -2978,7 +2977,7 @@ def len(self):
     _doc_args["casefold"] = {
         "type": "be casefolded",
         "method": "casefold",
-        "version": "\n    .. versionadded:: 0.25.0\n",
+        "version": "",
     }
 
     @Appender(_shared_docs["casemethods"] % _doc_args["lower"])
diff --git a/pandas/core/tools/datetimes.py b/pandas/core/tools/datetimes.py
index 430343beb630b..fd0604903000e 100644
--- a/pandas/core/tools/datetimes.py
+++ b/pandas/core/tools/datetimes.py
@@ -824,9 +824,6 @@ def to_datetime(
         out-of-bounds values will render the cache unusable and may slow down
         parsing.
 
-        .. versionchanged:: 0.25.0
-            changed default value from :const:`False` to :const:`True`.
-
     Returns
     -------
     datetime
diff --git a/pandas/io/formats/printing.py b/pandas/io/formats/printing.py
index 0338cb018049b..37351049f0f56 100644
--- a/pandas/io/formats/printing.py
+++ b/pandas/io/formats/printing.py
@@ -312,8 +312,6 @@ def format_object_summary(
         If False, only break lines when the a line of values gets wider
         than the display width.
 
-        .. versionadded:: 0.25.0
-
     Returns
     -------
     summary string
diff --git a/pandas/io/gbq.py b/pandas/io/gbq.py
index ec2ffbcf9682c..8db93f882fefd 100644
--- a/pandas/io/gbq.py
+++ b/pandas/io/gbq.py
@@ -130,7 +130,6 @@ def read_gbq(
         package. It also requires the ``google-cloud-bigquery-storage`` and
         ``fastavro`` packages.
 
-        .. versionadded:: 0.25.0
     max_results : int, optional
         If set, limit the maximum number of rows to fetch from the query
         results.
diff --git a/pandas/io/json/_json.py b/pandas/io/json/_json.py
index 5f02822b68d6d..f2780d5fa6832 100644
--- a/pandas/io/json/_json.py
+++ b/pandas/io/json/_json.py
@@ -549,19 +549,11 @@ def read_json(
 
         For all ``orient`` values except ``'table'``, default is True.
 
-        .. versionchanged:: 0.25.0
-
-           Not applicable for ``orient='table'``.
-
     convert_axes : bool, default None
         Try to convert the axes to the proper dtypes.
 
         For all ``orient`` values except ``'table'``, default is True.
 
-        .. versionchanged:: 0.25.0
-
-           Not applicable for ``orient='table'``.
-
     convert_dates : bool or list of str, default True
         If True then default datelike columns may be converted (depending on
         keep_default_dates).
diff --git a/pandas/io/json/_normalize.py b/pandas/io/json/_normalize.py
index 4b2d0d9beea3f..2e320c6cb9b8f 100644
--- a/pandas/io/json/_normalize.py
+++ b/pandas/io/json/_normalize.py
@@ -66,8 +66,6 @@ def nested_to_record(
     max_level: int, optional, default: None
         The max depth to normalize.
 
-        .. versionadded:: 0.25.0
-
     Returns
     -------
     d - dict or list of dicts, matching `ds`
@@ -289,8 +287,6 @@ def _json_normalize(
         Max number of levels(depth of dict) to normalize.
         if None, normalizes all levels.
 
-        .. versionadded:: 0.25.0
-
     Returns
     -------
     frame : DataFrame
diff --git a/pandas/io/parsers/readers.py b/pandas/io/parsers/readers.py
index d9c2403a19d0c..23a335ec0b965 100644
--- a/pandas/io/parsers/readers.py
+++ b/pandas/io/parsers/readers.py
@@ -267,7 +267,6 @@
     conversion. May produce significant speed-up when parsing duplicate
     date strings, especially ones with timezone offsets.
 
-    .. versionadded:: 0.25.0
 iterator : bool, default False
     Return TextFileReader object for iteration or getting chunks with
     ``get_chunk()``.
diff --git a/pandas/io/spss.py b/pandas/io/spss.py
index 32efd6ca1180c..630b78497d32f 100644
--- a/pandas/io/spss.py
+++ b/pandas/io/spss.py
@@ -24,8 +24,6 @@ def read_spss(
     """
     Load an SPSS file from the file path, returning a DataFrame.
 
-    .. versionadded:: 0.25.0
-
     Parameters
     ----------
     path : str or Path
diff --git a/pandas/plotting/_core.py b/pandas/plotting/_core.py
index aef1eb5d59e68..c8b217319b91d 100644
--- a/pandas/plotting/_core.py
+++ b/pandas/plotting/_core.py
@@ -690,18 +690,12 @@ class PlotAccessor(PandasObject):
     logx : bool or 'sym', default False
         Use log scaling or symlog scaling on x axis.
 
-        .. versionchanged:: 0.25.0
-
     logy : bool or 'sym' default False
         Use log scaling or symlog scaling on y axis.
 
-        .. versionchanged:: 0.25.0
-
     loglog : bool or 'sym', default False
         Use log scaling or symlog scaling on both x and y axes.
 
-        .. versionchanged:: 0.25.0
-
     xticks : sequence
         Values to use for the xticks.
     yticks : sequence