diff --git a/pandas/core/arrays/_ranges.py b/pandas/core/arrays/_ranges.py
index 48ca71c0c11e4..878bf34bcdd1d 100644
--- a/pandas/core/arrays/_ranges.py
+++ b/pandas/core/arrays/_ranges.py
@@ -152,7 +152,13 @@ def generate_daily_offset_range(
     i8values = i8values[freq._get_daily_offset_mask(dt64)]  # type: ignore[attr-defined]
 
     if abs_n > 1:
-        i8values = i8values[::abs_n]
+        # When trimming from the end (end+periods case), anchor stride on
+        # the last on-offset date so e.g. freq="2B" with end on a Sunday
+        # yields the last business day, last-2, last-4, ... (GH#64834).
+        if trim_from_end:
+            i8values = i8values[::-1][::abs_n][::-1]
+        else:
+            i8values = i8values[::abs_n]
 
     if trim_to is not None:
         if trim_from_end:
diff --git a/pandas/tests/indexes/datetimes/test_date_range.py b/pandas/tests/indexes/datetimes/test_date_range.py
index 8c52d2c7a71a6..9a31e01da2152 100644
--- a/pandas/tests/indexes/datetimes/test_date_range.py
+++ b/pandas/tests/indexes/datetimes/test_date_range.py
@@ -1194,6 +1194,19 @@ def test_bdate_range_end_weekend_periods(self):
         result = bdate_range(end="2026-03-22", periods=3)
         tm.assert_index_equal(result, expected)
 
+    @pytest.mark.parametrize("end", ["2026-03-20", "2026-03-21", "2026-03-22"])
+    def test_bdate_range_end_periods_multiple_n(self, end):
+        # GH#64648 (post-merge): with end+periods and freq="nB" (n>=2),
+        # the on-offset stride must be anchored at the end (last business
+        # day <= end), not at the start of the internal buffer.
+        result = bdate_range(end=end, periods=3, freq="2B")
+        expected = DatetimeIndex(["2026-03-16", "2026-03-18", "2026-03-20"])
+        tm.assert_index_equal(result, expected)
+
+        result = bdate_range(end=end, periods=3, freq="3B")
+        expected = DatetimeIndex(["2026-03-12", "2026-03-17", "2026-03-20"])
+        tm.assert_index_equal(result, expected)
+
 
 class TestCustomDateRange:
     def test_constructor(self):