GPO Plus (GPOX) Return on Sales [ROS] (2016 - 2026)
GPO Plus (GPOX) recorded Return on Sales [ROS] of -43.07% in fiscal Q4 2026 (quarter ended Apr 30, 2026), up 128.34 percentage points from -171.41% a year earlier and up 4.53 percentage points from the prior quarter.
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Analysis
GPO Plus (GPOX) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), GPO Plus reported Return on Sales [ROS] of -38.29%, up 29.12 percentage points from FY2025.
- Annual Return on Sales [ROS] has increased for four straight fiscal years, with a five-year change of +53.32 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at -67.40% in FY2025 (+24.27 pp), -91.67% in FY2024 (+461.37 pp), -553.04% in FY2023 (+1963.30 pp) and -2516.34% in FY2022 (-2424.74 pp).
- Quarterly Return on Sales [ROS] has ranged from -5160.12% in fiscal Q1 2022 to -24.24% in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in six of the last eight quarters, with an average year-over-year change of +27.05 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 3193.27 percentage points in fiscal Q1 2023, against a drop of 4553.52 percentage points in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -47.60% (Q3 2026), -31.53% (Q2 2026) and -32.55% (Q1 2026).
Peer Set
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 | GPO Plus | 1.15 Mn | 2.87 Mn | 345,265.00 | -43.07% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | -43.07% |
| Jan 31, 2026 | -47.60% |
| Oct 31, 2025 | -31.53% |
| Jul 31, 2025 | -32.55% |
| Apr 30, 2025 | -171.41% |
| Jan 31, 2025 | -24.24% |
| Oct 31, 2024 | -42.14% |
| Jul 31, 2024 | -40.17% |
| Apr 30, 2024 | -144.52% |
| Jan 31, 2024 | -68.58% |
| Oct 31, 2023 | -62.12% |
| Jul 31, 2023 | -95.95% |
| Apr 30, 2023 | -254.24% |
| Jan 31, 2023 | -704.47% |
| Oct 31, 2022 | -2,078.03% |
| Jul 31, 2022 | -1,966.85% |
| Apr 30, 2022 | -314.63% |
| Jan 31, 2022 | -1,678.64% |
| Oct 31, 2021 | -1,309.00% |
| Jul 31, 2021 | -5,160.12% |
API Access
GPO Plus 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=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GPOX", "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=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();