Maison Solutions (MSS) Return on Sales [ROS] (2022 - 2026)
Maison Solutions (MSS) reported Return on Sales [ROS] of -9.54% for fiscal Q3 2026 (quarter ended Jan 31, 2026), down 13.21 percentage points from 3.67% a year earlier and down 4.63 percentage points from the prior quarter.
Maison Solutions (MSS) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
Over the twelve months ended Jan 31, 2026, Maison Solutions' Return on Sales [ROS] came in at -7.95%, down 9.59 percentage points year-over-year; for FY2025 (ended Apr 30, 2025), it came in at -1.02%, up 3.64 percentage points from FY2024.
- Return on Sales [ROS] has a three-year change of +0.95 percentage points (FY2022 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at -4.66% in FY2024 (-4.81 pp), 0.15% in FY2023 (+2.12 pp) and -1.97% in FY2022.
- Five-year quarterly Return on Sales [ROS] spans a low of -15.85% in fiscal Q4 2025 and a high of 7.35% in fiscal Q1 2025.
- Year over year, Return on Sales [ROS] has now declined in each of the last four quarters, with an average year-over-year change of -3.46 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q1 2025 (a gain of 8.92 percentage points); the low point was fiscal Q4 2024 (a drop of 14.40 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at -4.91% (Q2 2026), 0.68% (Q1 2026) and -15.85% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 4.99% |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 3.99% |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 4.44% |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 2.80% |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 6.81% |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 8.54% |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 14.11% |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 4.21% |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 10.29% |
| 10 | Maison Solutions | 943,996.47 | -3.93 Mn | 7.54 Mn | -9.54% |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | -9.54% |
| Oct 31, 2025 | -4.91% |
| Jul 31, 2025 | 0.68% |
| Apr 30, 2025 | -15.85% |
| Jan 31, 2025 | 3.67% |
| Oct 31, 2024 | 3.16% |
| Jul 31, 2024 | 7.35% |
| Apr 30, 2024 | -14.38% |
| Jan 31, 2024 | -2.26% |
| Oct 31, 2023 | 1.84% |
| Jul 31, 2023 | -1.58% |
| Apr 30, 2023 | 0.02% |
| Jan 31, 2023 | -0.31% |
| Oct 31, 2022 | 4.58% |
| Jul 31, 2022 | -4.57% |
Maison Solutions 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=MSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MSS", "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=MSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();