GPO Plus (GPOX) Return on Sales [ROS] (2016 - 2026)
GPO Plus (GPOX) recorded Return on Sales [ROS] of -36.15% in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 3.60 percentage points from -32.55% a year earlier but up 6.92 percentage points from the prior quarter.
GPO Plus (GPOX) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
On a TTM basis, GPO Plus' Return on Sales [ROS] came in at -39.14% as of Jul 31, 2026, up 25.68 percentage points year-over-year; for FY2026 (ended Apr 30, 2026), it came in at -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 -2078.03% in fiscal Q2 2023 to -24.24% in fiscal Q3 2025 over the past five years.
- 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 +19.63 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 1620.36 percentage points in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -43.07% (Q4 2026), -47.60% (Q3 2026) and -31.53% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.08 Bn | 958.78 Bn | 49.13 Bn | 4.99% |
| 2 | Costco Wholesale | 472.58 Bn | 395.86 Bn | 12.19 Bn | 3.97% |
| 3 | Kroger | 40.51 Bn | 26.67 Bn | 7.86 Bn | 2.80% |
| 4 | Sysco | 38.21 Bn | 30.14 Bn | 4.05 Bn | 3.30% |
| 5 | Dollar General | 30.30 Bn | 24.97 Bn | 3.68 Bn | 6.81% |
| 6 | Dollar Tree | 26.43 Bn | 23.05 Bn | 2.10 Bn | 14.11% |
| 7 | Caseys General Stores | 25.82 Bn | 23.81 Bn | 1.24 Bn | 8.54% |
| 8 | US Foods Holding | 23.58 Bn | 23.38 Bn | 1.90 Bn | 3.57% |
| 9 | Tractor Supply | 19.47 Bn | 18.63 Bn | 1.42 Bn | 7.87% |
| 10 | GPO Plus | 966,587.63 | 2.76 Mn | 298,163.00 | -36.15% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -36.15% |
| 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% |
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();