GPO Plus (GPOX) Operating Margin (2016 - 2026)
GPO Plus' Operating Margin came in at -36.15% for 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) Operating Margin (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, GPO Plus reported Operating Margin of -39.14%, up 25.68 percentage points year-over-year; for FY2026 (ended Apr 30, 2026), it was -38.29%, up 29.12 percentage points from FY2025.
- Operating Margin has increased in each of the last four fiscal years, with a five-year change of +53.32 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Operating Margin was -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).
- The five-year range for quarterly Operating Margin is -2078.03% (fiscal Q2 2023) to -24.24% (fiscal Q3 2025).
- Year-over-year, Operating Margin increased in five of the last eight quarters, with an average year-over-year change of +19.63 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in fiscal Q1 2023 (a gain of 3193.27 percentage points), and the weakest in fiscal Q3 2022 (a drop of 1620.36 percentage points).
- Business Quant data shows GPOX's Operating Margin at -43.07% (Q4 2026), -47.60% (Q3 2026) and -31.53% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 994.65 Bn | 951.08 Bn | 49.13 Bn | 4.99% |
| 2 | Costco Wholesale | 469.67 Bn | 392.95 Bn | 12.19 Bn | 3.97% |
| 3 | Kroger | 40.94 Bn | 27.09 Bn | 7.86 Bn | 2.80% |
| 4 | Sysco | 37.29 Bn | 29.21 Bn | 4.05 Bn | 3.30% |
| 5 | Dollar General | 29.72 Bn | 24.39 Bn | 3.68 Bn | 6.81% |
| 6 | Dollar Tree | 25.99 Bn | 22.61 Bn | 2.10 Bn | 14.11% |
| 7 | Caseys General Stores | 25.59 Bn | 23.59 Bn | 1.24 Bn | 8.54% |
| 8 | US Foods Holding | 23.41 Bn | 23.21 Bn | 1.90 Bn | 3.57% |
| 9 | Tractor Supply | 19.13 Bn | 18.28 Bn | 1.42 Bn | 7.87% |
| 10 | GPO Plus | 548,004.10 | 428,490.10 | 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 Operating Margin 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=operating-margin&ticker=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();