diff --git a/doc/release/upcoming_changes/26766.change.rst b/doc/release/upcoming_changes/26766.change.rst
new file mode 100644
index 000000000000..923dbe816dd1
--- /dev/null
+++ b/doc/release/upcoming_changes/26766.change.rst
@@ -0,0 +1,2 @@
+* `numpy.floor`, `numpy.ceil`, and `numpy.trunc` now won't perform casting
+  to a floating dtype for integer and boolean dtype input arrays.
diff --git a/numpy/_core/code_generators/generate_umath.py b/numpy/_core/code_generators/generate_umath.py
index 06871a44b37f..6ec19f12e067 100644
--- a/numpy/_core/code_generators/generate_umath.py
+++ b/numpy/_core/code_generators/generate_umath.py
@@ -953,6 +953,7 @@ def english_upper(s):
     Ufunc(1, 1, None,
           docstrings.get('numpy._core.umath.ceil'),
           None,
+          TD(bints),
           TD('e', f='ceil', astype={'e': 'f'}),
           TD(inexactvec, dispatch=[('loops_unary_fp', 'fd')]),
           TD('fdg', f='ceil'),
@@ -962,6 +963,7 @@ def english_upper(s):
     Ufunc(1, 1, None,
           docstrings.get('numpy._core.umath.trunc'),
           None,
+          TD(bints),
           TD('e', f='trunc', astype={'e': 'f'}),
           TD(inexactvec, dispatch=[('loops_unary_fp', 'fd')]),
           TD('fdg', f='trunc'),
@@ -978,6 +980,7 @@ def english_upper(s):
     Ufunc(1, 1, None,
           docstrings.get('numpy._core.umath.floor'),
           None,
+          TD(bints),
           TD('e', f='floor', astype={'e': 'f'}),
           TD(inexactvec, dispatch=[('loops_unary_fp', 'fd')]),
           TD('fdg', f='floor'),
diff --git a/numpy/_core/src/umath/loops.h.src b/numpy/_core/src/umath/loops.h.src
index 3cb689818ec8..f775bc22b8a8 100644
--- a/numpy/_core/src/umath/loops.h.src
+++ b/numpy/_core/src/umath/loops.h.src
@@ -77,7 +77,7 @@ BOOL_@kind@(char **args, npy_intp const *dimensions, npy_intp const *steps, void
     #include "loops_autovec.dispatch.h"
 #endif
 /**begin repeat
- * #kind = isnan, isinf, isfinite#
+ * #kind = isnan, isinf, isfinite, floor, ceil, trunc#
  */
 NPY_CPU_DISPATCH_DECLARE(NPY_NO_EXPORT void BOOL_@kind@,
     (char **args, npy_intp const *dimensions, npy_intp const *steps, void *NPY_UNUSED(func)))
@@ -179,6 +179,12 @@ NPY_NO_EXPORT void
 NPY_NO_EXPORT void
 @S@@TYPE@_positive(char **args, npy_intp const *dimensions, npy_intp const *steps, void *NPY_UNUSED(func));
 
+/**begin repeat2
+ * #kind = floor, ceil, trunc#
+ */
+#define @S@@TYPE@_@kind@ @S@@TYPE@_positive
+/**end repeat2**/
+
 /**begin repeat2
  * Arithmetic
  * #kind = add, subtract, multiply, bitwise_and, bitwise_or, bitwise_xor,
diff --git a/numpy/_core/src/umath/loops_autovec.dispatch.c.src b/numpy/_core/src/umath/loops_autovec.dispatch.c.src
index 6ccafe577c72..e93e851d6b7a 100644
--- a/numpy/_core/src/umath/loops_autovec.dispatch.c.src
+++ b/numpy/_core/src/umath/loops_autovec.dispatch.c.src
@@ -264,6 +264,17 @@ NPY_NO_EXPORT void NPY_CPU_DISPATCH_CURFX(BOOL_@kind@)
 }
 /**end repeat**/
 
+/**begin repeat
+ * Identity
+ * #kind = floor, ceil, trunc#
+ */
+NPY_NO_EXPORT void NPY_CPU_DISPATCH_CURFX(BOOL_@kind@)
+(char **args, npy_intp const *dimensions, npy_intp const *steps, void *NPY_UNUSED(func))
+{
+    UNARY_LOOP_FAST(npy_bool, npy_bool, *out = in);
+}
+/**end repeat**/
+
 /*
  *****************************************************************************
  **                          HALF-FLOAT LOOPS                               **
diff --git a/numpy/_core/tests/test_umath.py b/numpy/_core/tests/test_umath.py
index df8ec07dc3f5..548411da7f48 100644
--- a/numpy/_core/tests/test_umath.py
+++ b/numpy/_core/tests/test_umath.py
@@ -4174,6 +4174,15 @@ def test_fraction(self):
         assert_equal(np.ceil(f), -1)
         assert_equal(np.trunc(f), -1)
 
+    @pytest.mark.parametrize('func', [np.floor, np.ceil, np.trunc])
+    @pytest.mark.parametrize('dtype', [np.bool, np.float64, np.float32,
+                                       np.int64, np.uint32])
+    def test_output_dtype(self, func, dtype):
+        arr = np.array([-2, 0, 4, 8]).astype(dtype)
+        result = func(arr)
+        assert_equal(arr, result)
+        assert result.dtype == dtype
+
 
 class TestComplexFunctions:
     funcs = [np.arcsin,  np.arccos,  np.arctan, np.arcsinh, np.arccosh,
diff --git a/tools/ci/array-api-skips.txt b/tools/ci/array-api-skips.txt
index 5b7324ae753b..2d618ee05d45 100644
--- a/tools/ci/array-api-skips.txt
+++ b/tools/ci/array-api-skips.txt
@@ -1,11 +1,6 @@
 # finfo return type misalignment
 array_api_tests/test_data_type_functions.py::test_finfo[float32]
 
-# for int inputs out.dtype=float32, but should be int
-array_api_tests/test_operators_and_elementwise_functions.py::test_ceil
-array_api_tests/test_operators_and_elementwise_functions.py::test_floor
-array_api_tests/test_operators_and_elementwise_functions.py::test_trunc
-
 # 'shape' arg is present. 'newshape' is retained for backward compat.
 array_api_tests/test_signatures.py::test_func_signature[reshape]