diff --git a/vortex-array/Cargo.toml b/vortex-array/Cargo.toml
index 10733c48d8b..8560aa9e6f9 100644
--- a/vortex-array/Cargo.toml
+++ b/vortex-array/Cargo.toml
@@ -119,6 +119,10 @@ harness = false
 name = "cast_decimal"
 harness = false
 
+[[bench]]
+name = "copy_to_canonical_width"
+harness = false
+
 [[bench]]
 name = "search_sorted"
 harness = false
diff --git a/vortex-array/benches/copy_to_canonical_width.rs b/vortex-array/benches/copy_to_canonical_width.rs
new file mode 100644
index 00000000000..21393a5ee4c
--- /dev/null
+++ b/vortex-array/benches/copy_to_canonical_width.rs
@@ -0,0 +1,78 @@
+// SPDX-License-Identifier: Apache-2.0
+// SPDX-FileCopyrightText: Copyright the Vortex contributors
+
+//! Copies of unscaled decimal values into the canonical width of a target dtype.
+//!
+//! Each widening case copies values of one native type into a wider canonical width, which
+//! [`copy_to_canonical_width`] does without a check. The `same_width_i64` control is a plain copy.
+//! Widening never reads the validity, so every case has no nulls.
+//!
+//! Every case carries `#[cpu_features]`, so it is measured on every walltime CPU-feature leg
+//! rather than in simulation: the widening loop is written once, and how the compiler vectorizes
+//! it depends on the build flags.
+
+#![expect(clippy::expect_used)]
+
+use divan::Bencher;
+use mimalloc::MiMalloc;
+use rand::RngExt;
+use rand::SeedableRng;
+use rand::rngs::StdRng;
+use vortex_array::arrays::decimal::copy_to_canonical_width;
+use vortex_array::dtype::BigCast;
+use vortex_array::dtype::DecimalDType;
+use vortex_array::dtype::NativeDecimalType;
+use vortex_mask::Mask;
+
+// The copy allocates its output inside the timed region, so the allocator is fixed to keep the
+// system allocator out of the measurement.
+#[global_allocator]
+static GLOBAL: MiMalloc = MiMalloc;
+
+fn main() {
+    divan::main();
+}
+
+const LEN: usize = 16_384;
+
+/// Copies [`LEN`] random values of `F`, each within `source_precision` digits, into the canonical
+/// width of `target`.
+fn bench_copy<F: NativeDecimalType>(bencher: Bencher, source_precision: u32, target: DecimalDType) {
+    let mut rng = StdRng::seed_from_u64(42);
+    let max = 10i64.pow(source_precision) - 1;
+    let values: Vec<F> = (0..LEN)
+        .map(|_| {
+            <F as BigCast>::from(rng.random_range(-max..=max))
+                .expect("the source precision fits the source type")
+        })
+        .collect();
+    let validity = Mask::new_true(LEN);
+
+    bencher.bench_local(|| {
+        copy_to_canonical_width(&values, &validity, target).expect("every valid value fits target")
+    });
+}
+
+#[vortex_bench_support::cpu_features]
+#[divan::bench]
+fn i32_to_i64(bencher: Bencher) {
+    bench_copy::<i32>(bencher, 9, DecimalDType::new(18, 2));
+}
+
+#[vortex_bench_support::cpu_features]
+#[divan::bench]
+fn i64_to_i128(bencher: Bencher) {
+    bench_copy::<i64>(bencher, 18, DecimalDType::new(38, 2));
+}
+
+#[vortex_bench_support::cpu_features]
+#[divan::bench]
+fn i128_to_i256(bencher: Bencher) {
+    bench_copy::<i128>(bencher, 18, DecimalDType::new(76, 2));
+}
+
+#[vortex_bench_support::cpu_features]
+#[divan::bench]
+fn same_width_i64(bencher: Bencher) {
+    bench_copy::<i64>(bencher, 18, DecimalDType::new(18, 2));
+}