diff --git a/nac3core/src/codegen/builtin_fns.rs b/nac3core/src/codegen/builtin_fns.rs
index 4c26b43..7c203df 100644
--- a/nac3core/src/codegen/builtin_fns.rs
+++ b/nac3core/src/codegen/builtin_fns.rs
@@ -789,17 +789,19 @@ pub fn call_max<'ctx>(
 }
 
 /// Invokes the `abs` builtin function.
-pub fn call_abs<'ctx>(
+pub fn call_abs<'ctx, G: CodeGenerator + ?Sized>(
+    generator: &mut G,
     ctx: &mut CodeGenContext<'ctx, '_>,
     n: (Type, BasicValueEnum<'ctx>),
-) -> BasicValueEnum<'ctx> {
+) -> Result<BasicValueEnum<'ctx>, String> {
     const FN_NAME: &str = "abs";
 
     let llvm_i1 = ctx.ctx.bool_type();
+    let llvm_usize = generator.get_size_type(ctx.ctx);
 
     let (n_ty, n) = n;
 
-    match n.get_type() {
+    Ok(match n.get_type() {
         BasicTypeEnum::IntType(_) => {
             debug_assert!([
                 ctx.primitives.bool,
@@ -830,8 +832,25 @@ pub fn call_abs<'ctx>(
             llvm_intrinsics::call_float_fabs(ctx, n.into_float_value(), Some(FN_NAME)).into()
         }
 
+        BasicTypeEnum::PointerType(_) if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PRIMITIVE_DEF_IDS.ndarray) => {
+            let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
+
+            let ndarray = ndarray_elementwise_unaryop_impl(
+                generator,
+                ctx,
+                elem_ty,
+                None,
+                NDArrayValue::from_ptr_val(n.into_pointer_value(), llvm_usize, None),
+                |generator, ctx, val| {
+                    call_abs(generator, ctx, (elem_ty, val))
+                },
+            )?;
+
+            ndarray.as_ptr_value().into()
+        }
+
         _ => unsupported_type(ctx, FN_NAME, &[n_ty])
-    }
+    })
 }
 
 /// Invokes the `np_isnan` builtin function.
diff --git a/nac3core/src/toplevel/builtins.rs b/nac3core/src/toplevel/builtins.rs
index c64a196..f9049d9 100644
--- a/nac3core/src/toplevel/builtins.rs
+++ b/nac3core/src/toplevel/builtins.rs
@@ -1366,8 +1366,8 @@ pub fn get_builtins(unifier: &mut Unifier, primitives: &PrimitiveStore) -> Built
             name: "abs".into(),
             simple_name: "abs".into(),
             signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
-                args: vec![FuncArg { name: "n".into(), ty: num_ty.0, default_value: None }],
-                ret: num_ty.0,
+                args: vec![FuncArg { name: "n".into(), ty: num_or_ndarray_ty.0, default_value: None }],
+                ret: num_or_ndarray_ty.0,
                 vars: var_map.clone(),
             })),
             var_id: Vec::default(),
@@ -1379,7 +1379,7 @@ pub fn get_builtins(unifier: &mut Unifier, primitives: &PrimitiveStore) -> Built
                     let n_ty = fun.0.args[0].ty;
                     let n_val = args[0].1.clone().to_basic_value_enum(ctx, generator, n_ty)?;
 
-                    Ok(Some(builtin_fns::call_abs(ctx, (n_ty, n_val))))
+                    Ok(Some(builtin_fns::call_abs(generator, ctx, (n_ty, n_val))?))
                 },
             )))),
             loc: None,
diff --git a/nac3standalone/demo/src/ndarray.py b/nac3standalone/demo/src/ndarray.py
index 9af48f1..d803c80 100644
--- a/nac3standalone/demo/src/ndarray.py
+++ b/nac3standalone/demo/src/ndarray.py
@@ -751,6 +751,13 @@ def test_ndarray_ceil():
     output_ndarray_int64_2(xf64)
     output_ndarray_float_2(xff)
 
+def test_ndarray_abs():
+    x = np_identity(2)
+    y = abs(x)
+
+    output_ndarray_float_2(x)
+    output_ndarray_float_2(y)
+
 def run() -> int32:
     test_ndarray_ctor()
     test_ndarray_empty()
@@ -850,5 +857,6 @@ def run() -> int32:
 
     test_ndarray_round()
     test_ndarray_floor()
+    test_ndarray_abs()
 
     return 0