diff --git a/pandas/_libs/tslibs/dtypes.pxd b/pandas/_libs/tslibs/dtypes.pxd
index 84a3af0490c0a..9c0eb0f9b0945 100644
--- a/pandas/_libs/tslibs/dtypes.pxd
+++ b/pandas/_libs/tslibs/dtypes.pxd
@@ -7,6 +7,7 @@ cdef str npy_unit_to_abbrev(NPY_DATETIMEUNIT unit)
 cdef NPY_DATETIMEUNIT freq_group_code_to_npy_unit(int freq) nogil
 cpdef int64_t periods_per_day(NPY_DATETIMEUNIT reso=*) except? -1
 cdef int64_t periods_per_second(NPY_DATETIMEUNIT reso) except? -1
+cdef int64_t get_conversion_factor(NPY_DATETIMEUNIT from_unit, NPY_DATETIMEUNIT to_unit)
 
 cdef dict attrname_to_abbrevs
 
diff --git a/pandas/_libs/tslibs/dtypes.pyx b/pandas/_libs/tslibs/dtypes.pyx
index 5da3944bfb147..9d33343c62443 100644
--- a/pandas/_libs/tslibs/dtypes.pyx
+++ b/pandas/_libs/tslibs/dtypes.pyx
@@ -1,5 +1,7 @@
 # period frequency constants corresponding to scikits timeseries
 # originals
+cimport cython
+
 from enum import Enum
 
 from pandas._libs.tslibs.np_datetime cimport NPY_DATETIMEUNIT
@@ -361,6 +363,46 @@ cdef int64_t periods_per_second(NPY_DATETIMEUNIT reso) except? -1:
         raise NotImplementedError(reso)
 
 
+@cython.overflowcheck(True)
+cdef int64_t get_conversion_factor(NPY_DATETIMEUNIT from_unit, NPY_DATETIMEUNIT to_unit):
+    """
+    Find the factor by which we need to multiply to convert from from_unit to to_unit.
+    """
+    if (
+        from_unit == NPY_DATETIMEUNIT.NPY_FR_GENERIC
+        or to_unit == NPY_DATETIMEUNIT.NPY_FR_GENERIC
+    ):
+        raise ValueError("unit-less resolutions are not supported")
+    if from_unit > to_unit:
+        raise ValueError
+
+    if from_unit == to_unit:
+        return 1
+
+    if from_unit == NPY_DATETIMEUNIT.NPY_FR_W:
+        return 7 * get_conversion_factor(NPY_DATETIMEUNIT.NPY_FR_D, to_unit)
+    elif from_unit == NPY_DATETIMEUNIT.NPY_FR_D:
+        return 24 * get_conversion_factor(NPY_DATETIMEUNIT.NPY_FR_h, to_unit)
+    elif from_unit == NPY_DATETIMEUNIT.NPY_FR_h:
+        return 60 * get_conversion_factor(NPY_DATETIMEUNIT.NPY_FR_m, to_unit)
+    elif from_unit == NPY_DATETIMEUNIT.NPY_FR_m:
+        return 60 * get_conversion_factor(NPY_DATETIMEUNIT.NPY_FR_s, to_unit)
+    elif from_unit == NPY_DATETIMEUNIT.NPY_FR_s:
+        return 1000 * get_conversion_factor(NPY_DATETIMEUNIT.NPY_FR_ms, to_unit)
+    elif from_unit == NPY_DATETIMEUNIT.NPY_FR_ms:
+        return 1000 * get_conversion_factor(NPY_DATETIMEUNIT.NPY_FR_us, to_unit)
+    elif from_unit == NPY_DATETIMEUNIT.NPY_FR_us:
+        return 1000 * get_conversion_factor(NPY_DATETIMEUNIT.NPY_FR_ns, to_unit)
+    elif from_unit == NPY_DATETIMEUNIT.NPY_FR_ns:
+        return 1000 * get_conversion_factor(NPY_DATETIMEUNIT.NPY_FR_ps, to_unit)
+    elif from_unit == NPY_DATETIMEUNIT.NPY_FR_ps:
+        return 1000 * get_conversion_factor(NPY_DATETIMEUNIT.NPY_FR_fs, to_unit)
+    elif from_unit == NPY_DATETIMEUNIT.NPY_FR_fs:
+        return 1000 * get_conversion_factor(NPY_DATETIMEUNIT.NPY_FR_as, to_unit)
+    else:
+        raise ValueError(from_unit, to_unit)
+
+
 cdef dict _reso_str_map = {
     Resolution.RESO_NS.value: "nanosecond",
     Resolution.RESO_US.value: "microsecond",
diff --git a/pandas/_libs/tslibs/src/datetime/np_datetime.c b/pandas/_libs/tslibs/src/datetime/np_datetime.c
index 9029f9ae14b34..2bac6c720c3b6 100644
--- a/pandas/_libs/tslibs/src/datetime/np_datetime.c
+++ b/pandas/_libs/tslibs/src/datetime/np_datetime.c
@@ -954,7 +954,7 @@ void pandas_timedelta_to_timedeltastruct(npy_timedelta td,
         case NPY_FR_s:
         // special case where we can simplify many expressions bc per_sec=1
 
-        per_day = 86400000LL;
+        per_day = 86400LL;
         per_sec = 1L;
 
         // put frac in seconds
@@ -1023,6 +1023,52 @@ void pandas_timedelta_to_timedeltastruct(npy_timedelta td,
         }
         break;
 
+        case NPY_FR_m:
+
+        out->days = td / 1440LL;
+        td -= out->days * 1440LL;
+        out->hrs = td / 60LL;
+        td -= out->hrs * 60LL;
+        out->min = td;
+
+        out->sec = 0;
+        out->ms = 0;
+        out->us = 0;
+        out->ns = 0;
+        break;
+
+        case NPY_FR_h:
+        out->days = td / 24LL;
+        td -= out->days * 24LL;
+        out->hrs = td;
+
+        out->min = 0;
+        out->sec = 0;
+        out->ms = 0;
+        out->us = 0;
+        out->ns = 0;
+        break;
+
+        case NPY_FR_D:
+        out->days = td;
+        out->hrs = 0;
+        out->min = 0;
+        out->sec = 0;
+        out->ms = 0;
+        out->us = 0;
+        out->ns = 0;
+        break;
+
+        case NPY_FR_W:
+        out->days = 7 * td;
+        out->hrs = 0;
+        out->min = 0;
+        out->sec = 0;
+        out->ms = 0;
+        out->us = 0;
+        out->ns = 0;
+        break;
+
         default:
             PyErr_SetString(PyExc_RuntimeError,
                             "NumPy timedelta metadata is corrupted with "
diff --git a/pandas/_libs/tslibs/timedeltas.pxd b/pandas/_libs/tslibs/timedeltas.pxd
index 3019be5a59c46..eb562e743fc01 100644
--- a/pandas/_libs/tslibs/timedeltas.pxd
+++ b/pandas/_libs/tslibs/timedeltas.pxd
@@ -21,3 +21,4 @@ cdef class _Timedelta(timedelta):
     cdef bint _has_ns(self)
     cdef _ensure_components(_Timedelta self)
     cdef inline bint _compare_mismatched_resos(self, _Timedelta other, op)
+    cdef _Timedelta _as_reso(self, NPY_DATETIMEUNIT reso, bint round_ok=*)
diff --git a/pandas/_libs/tslibs/timedeltas.pyi b/pandas/_libs/tslibs/timedeltas.pyi
index c547503bae273..57cc76811fea7 100644
--- a/pandas/_libs/tslibs/timedeltas.pyi
+++ b/pandas/_libs/tslibs/timedeltas.pyi
@@ -152,3 +152,4 @@ class Timedelta(timedelta):
     def freq(self) -> None: ...
     @property
     def is_populated(self) -> bool: ...
+    def _as_unit(self, unit: str, round_ok: bool = ...) -> Timedelta: ...
diff --git a/pandas/_libs/tslibs/timedeltas.pyx b/pandas/_libs/tslibs/timedeltas.pyx
index 4eb1494c4d56c..593b31f0d9113 100644
--- a/pandas/_libs/tslibs/timedeltas.pyx
+++ b/pandas/_libs/tslibs/timedeltas.pyx
@@ -35,7 +35,10 @@ from pandas._libs.tslibs.conversion cimport (
     cast_from_unit,
     precision_from_unit,
 )
-from pandas._libs.tslibs.dtypes cimport npy_unit_to_abbrev
+from pandas._libs.tslibs.dtypes cimport (
+    get_conversion_factor,
+    npy_unit_to_abbrev,
+)
 from pandas._libs.tslibs.nattype cimport (
     NPY_NAT,
     c_NaT as NaT,
@@ -1377,6 +1380,40 @@ cdef class _Timedelta(timedelta):
         # exposing as classmethod for testing
         return _timedelta_from_value_and_reso(value, reso)
 
+    def _as_unit(self, str unit, bint round_ok=True):
+        dtype = np.dtype(f"m8[{unit}]")
+        reso = get_unit_from_dtype(dtype)
+        try:
+            return self._as_reso(reso, round_ok=round_ok)
+        except OverflowError as err:
+            raise OutOfBoundsTimedelta(
+                f"Cannot cast {self} to unit='{unit}' without overflow."
+            ) from err
+
+    @cython.cdivision(False)
+    cdef _Timedelta _as_reso(self, NPY_DATETIMEUNIT reso, bint round_ok=True):
+        cdef:
+            int64_t value, mult, div, mod
+
+        if reso == self._reso:
+            return self
+
+        if reso < self._reso:
+            # e.g. ns -> us
+            mult = get_conversion_factor(reso, self._reso)
+            div, mod = divmod(self.value, mult)
+            if mod > 0 and not round_ok:
+                raise ValueError("Cannot losslessly convert units")
+
+            # Note that when mod > 0, we follow np.timedelta64 in always
+            #  rounding down.
+            value = div
+        else:
+            mult = get_conversion_factor(self._reso, reso)
+            with cython.overflowcheck(True):
+                value = self.value * mult
+        return type(self)._from_value_and_reso(value, reso=reso)
+
 
 # Python front end to C extension type _Timedelta
 # This serves as the box for timedelta64
diff --git a/pandas/tests/scalar/timedelta/test_timedelta.py b/pandas/tests/scalar/timedelta/test_timedelta.py
index cf7211e82b799..5ef69075c5e2f 100644
--- a/pandas/tests/scalar/timedelta/test_timedelta.py
+++ b/pandas/tests/scalar/timedelta/test_timedelta.py
@@ -13,6 +13,7 @@
     NaT,
     iNaT,
 )
+from pandas.errors import OutOfBoundsTimedelta
 
 import pandas as pd
 from pandas import (
@@ -24,6 +25,80 @@
 import pandas._testing as tm
 
 
+class TestAsUnit:
+    def test_as_unit(self):
+        td = Timedelta(days=1)
+
+        assert td._as_unit("ns") is td
+
+        res = td._as_unit("us")
+        assert res.value == td.value // 1000
+        assert res._reso == td._reso - 1
+
+        rt = res._as_unit("ns")
+        assert rt.value == td.value
+        assert rt._reso == td._reso
+
+        res = td._as_unit("ms")
+        assert res.value == td.value // 1_000_000
+        assert res._reso == td._reso - 2
+
+        rt = res._as_unit("ns")
+        assert rt.value == td.value
+        assert rt._reso == td._reso
+
+        res = td._as_unit("s")
+        assert res.value == td.value // 1_000_000_000
+        assert res._reso == td._reso - 3
+
+        rt = res._as_unit("ns")
+        assert rt.value == td.value
+        assert rt._reso == td._reso
+
+    def test_as_unit_overflows(self):
+        # microsecond that would be just out of bounds for nano
+        us = 9223372800000000
+        td = Timedelta._from_value_and_reso(us, 9)
+
+        msg = "Cannot cast 106752 days 00:00:00 to unit='ns' without overflow"
+        with pytest.raises(OutOfBoundsTimedelta, match=msg):
+            td._as_unit("ns")
+
+        res = td._as_unit("ms")
+        assert res.value == us // 1000
+        assert res._reso == 8
+
+    def test_as_unit_rounding(self):
+        td = Timedelta(microseconds=1500)
+        res = td._as_unit("ms")
+
+        expected = Timedelta(milliseconds=1)
+        assert res == expected
+
+        assert res._reso == 8
+        assert res.value == 1
+
+        with pytest.raises(ValueError, match="Cannot losslessly convert units"):
+            td._as_unit("ms", round_ok=False)
+
+    def test_as_unit_non_nano(self):
+        # case where we are going neither to nor from nano
+        td = Timedelta(days=1)._as_unit("D")
+        assert td.days == 1
+        assert td.value == 1
+        assert td.components.days == 1
+        assert td._d == 1
+        assert td.total_seconds() == 86400
+
+        res = td._as_unit("h")
+        assert res.value == 24
+        assert res.components.days == 1
+        assert res.components.hours == 0
+        assert res._d == 1
+        assert res._h == 0
+        assert res.total_seconds() == 86400
+
+
 class TestNonNano:
     @pytest.fixture(params=[7, 8, 9])
     def unit(self, request):