GPO Plus (GPOX) Operating Margin (2016 - 2026)
GPO Plus' Operating Margin came in at -43.07% for 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) Operating Margin (2016 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), GPO Plus' Operating Margin 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 -5160.12% (fiscal Q1 2022) to -24.24% (fiscal Q3 2025).
- Year-over-year, Operating Margin increased in six of the last eight quarters, with an average year-over-year change of +27.05 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 Q1 2022 (a drop of 4553.52 percentage points).
- Business Quant data shows GPOX's Operating Margin at -47.60% (Q3 2026), -31.53% (Q2 2026) and -32.55% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 4.99% |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 3.99% |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 4.44% |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 2.80% |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 6.81% |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 8.54% |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 14.11% |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 4.21% |
| 9 | Tractor Supply | 16.74 Bn | 15.90 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 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();