Walmart (WMT) Return on Sales [ROS] (2009 - 2026)
Walmart (WMT) recorded Return on Sales [ROS] of 4.99% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 0.89 percentage points from 4.11% a year earlier and up 0.78 percentage points from the prior quarter.
Walmart (WMT) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Walmart's Return on Sales [ROS] came in at 4.39% as of Jul 31, 2026, up 0.20 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was 4.18%, down 0.13 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of +0.15 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 4.31% in FY2025 (+0.14 pp), 4.17% in FY2024 (+0.83 pp), 3.34% in FY2023 (-1.19 pp) and 4.53% in FY2022 (+0.50 pp).
- The fiscal Q2 2027 figure is the highest quarterly Return on Sales [ROS] since fiscal Q2 2022.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last eight quarters, with an average year-over-year change of +0.07 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 2.09 percentage points in fiscal Q3 2024, against a drop of 2.36 percentage points in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 4.22% (Q1 2027), 4.57% (Q4 2026) and 3.73% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 955.12 Bn | 911.55 Bn | 49.13 Bn | 4.99% |
| 2 | Costco Wholesale | 448.30 Bn | 371.58 Bn | 12.19 Bn | 3.97% |
| 3 | Kroger | 40.72 Bn | 26.87 Bn | 7.86 Bn | 2.80% |
| 4 | Sysco | 39.28 Bn | 33.53 Bn | 4.13 Bn | 4.44% |
| 5 | Dollar General | 29.41 Bn | 24.09 Bn | 3.68 Bn | 6.81% |
| 6 | Caseys General Stores | 26.05 Bn | 24.05 Bn | 1.24 Bn | 8.54% |
| 7 | Dollar Tree | 23.76 Bn | 20.38 Bn | 2.10 Bn | 14.11% |
| 8 | US Foods Holding | 22.25 Bn | 22.05 Bn | 1.92 Bn | 4.21% |
| 9 | Tractor Supply | 17.66 Bn | 16.83 Bn | 1.68 Bn | 10.29% |
| 10 | Performance Food | 14.88 Bn | 14.67 Bn | 2.17 Bn | 1.80% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.99% |
| Apr 30, 2026 | 4.22% |
| Jan 31, 2026 | 4.57% |
| Oct 31, 2025 | 3.73% |
| Jul 31, 2025 | 4.11% |
| Apr 30, 2025 | 4.31% |
| Jan 31, 2025 | 4.35% |
| Oct 31, 2024 | 3.96% |
| Jul 31, 2024 | 4.69% |
| Apr 30, 2024 | 4.24% |
| Jan 31, 2024 | 4.18% |
| Oct 31, 2023 | 3.86% |
| Jul 31, 2023 | 4.53% |
| Apr 30, 2023 | 4.10% |
| Jan 31, 2023 | 3.39% |
| Oct 31, 2022 | 1.76% |
| Jul 31, 2022 | 4.48% |
| Apr 30, 2022 | 3.76% |
| Jan 31, 2022 | 3.85% |
| Oct 31, 2021 | 4.12% |
Walmart Return on Sales [ROS] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=WMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "WMT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();