Pricesmart (PSMT) Return on Sales [ROS] (2010 - 2026)
Pricesmart (PSMT) reported Return on Sales [ROS] of 4.43% for fiscal Q3 2026 (quarter ended May 31, 2026), up 0.16 percentage points from 4.27% a year earlier but down 0.61 percentage points from the prior quarter.
Pricesmart (PSMT) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Pricesmart's Return on Sales [ROS] came in at 4.51%, up 0.08 percentage points year-over-year; for FY2025 (ended Aug 31, 2025), it was 4.41%, down 0.08 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +0.73 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at 4.50% in FY2024 (+0.31 pp), 4.18% in FY2023 (+0.07 pp), 4.11% in FY2022 (-0.26 pp) and 4.37% in FY2021 (+0.69 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 2.87% in fiscal Q4 2023 and a high of 5.26% in fiscal Q1 2023.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of +0.14 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2024 (a gain of 1.14 percentage points); the low point was fiscal Q4 2023 (a drop of 0.94 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 5.04% (Q2 2026), 4.55% (Q1 2026) and 3.96% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 961.60 Bn | 918.03 Bn | 49.13 Bn | 4.99% |
| 2 | Costco Wholesale | 451.41 Bn | 374.69 Bn | 12.19 Bn | 3.97% |
| 3 | Kroger | 41.07 Bn | 27.22 Bn | 7.86 Bn | 2.80% |
| 4 | Sysco | 40.11 Bn | 34.36 Bn | 4.13 Bn | 4.44% |
| 5 | Dollar General | 30.55 Bn | 25.23 Bn | 3.68 Bn | 6.81% |
| 6 | Caseys General Stores | 26.34 Bn | 24.34 Bn | 1.24 Bn | 8.54% |
| 7 | Dollar Tree | 24.96 Bn | 21.58 Bn | 2.10 Bn | 14.11% |
| 8 | US Foods Holding | 22.77 Bn | 22.57 Bn | 1.92 Bn | 4.21% |
| 9 | Tractor Supply | 18.16 Bn | 17.32 Bn | 1.68 Bn | 10.29% |
| 10 | Pricesmart | 5.19 Bn | 3.92 Bn | 262.22 Mn | 4.43% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 4.43% |
| Feb 28, 2026 | 5.04% |
| Nov 30, 2025 | 4.55% |
| Aug 31, 2025 | 3.96% |
| May 31, 2025 | 4.27% |
| Feb 28, 2025 | 4.79% |
| Nov 30, 2024 | 4.63% |
| Aug 31, 2024 | 4.01% |
| May 31, 2024 | 4.06% |
| Feb 29, 2024 | 4.92% |
| Nov 30, 2023 | 4.99% |
| Aug 31, 2023 | 2.87% |
| May 31, 2023 | 3.93% |
| Feb 28, 2023 | 4.71% |
| Nov 30, 2022 | 5.26% |
| Aug 31, 2022 | 3.81% |
| May 31, 2022 | 3.28% |
| Feb 28, 2022 | 4.65% |
| Nov 30, 2021 | 4.72% |
| Aug 31, 2021 | 3.57% |
Pricesmart 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=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PSMT", "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=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();