GPO Plus (GPOX) EBITDA Margin (2020 - 2026)
GPO Plus (GPOX) posted EBITDA Margin of -43.00% for fiscal Q4 2026 (quarter ended Apr 30, 2026), up 126.88 percentage points from -169.88% a year earlier and up 3.84 percentage points from the prior quarter.
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Analysis
GPO Plus (GPOX) EBITDA Margin (2020 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), GPO Plus' EBITDA Margin came in at -37.68%, up 28.11 percentage points from FY2025.
- Annual EBITDA Margin has increased for four consecutive fiscal years, with a five-year change of +53.87 percentage points (FY2021 to FY2026).
- In prior fiscal years, GPO Plus' EBITDA Margin was -65.79% in FY2025 (+24.54 pp), -90.33% in FY2024 (+458.05 pp), -548.38% in FY2023 (+1967.86 pp) and -2516.24% in FY2022 (-2424.70 pp).
- Quarterly EBITDA Margin has run from a low of -5160.04% in fiscal Q1 2022 to a high of -22.63% in fiscal Q3 2025 over five years.
- On a year-over-year basis, EBITDA Margin increased in six of the last eight quarters, with an average year-over-year change of +26.69 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was fiscal Q1 2023, with a gain of 3205.43 percentage points; the weakest was fiscal Q1 2022, with a drop of 4553.44 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior fiscal quarters was -46.84% (Q3 2026), -30.95% (Q2 2026) and -31.44% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn | 7.08% |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn | 4.89% |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn | 5.74% |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn | 4.93% |
| 5 | Dollar General | 29.16 Bn | 23.84 Bn | 3.68 Bn | 9.27% |
| 6 | Caseys General Stores | 25.71 Bn | 23.71 Bn | 1.24 Bn | 10.59% |
| 7 | Dollar Tree | 23.91 Bn | 20.53 Bn | 2.10 Bn | 17.79% |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn | 5.33% |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn | 13.17% |
| 10 | GPO Plus | 1.15 Mn | 946,485.40 | 345,265.00 | -39.95% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | -39.95% |
| Jan 31, 2026 | -42.38% |
| Oct 31, 2025 | -28.11% |
| Jul 31, 2025 | -28.77% |
| Apr 30, 2025 | -165.60% |
| Jan 31, 2025 | -20.38% |
| Oct 31, 2024 | -39.26% |
| Jul 31, 2024 | -36.38% |
| Apr 30, 2024 | -137.07% |
| Jan 31, 2024 | -59.44% |
| Oct 31, 2023 | -50.68% |
| Jul 31, 2023 | -76.37% |
| Apr 30, 2023 | -218.03% |
| Jan 31, 2023 | -594.48% |
| Oct 31, 2022 | -2,020.38% |
| Jul 31, 2022 | -1,849.82% |
| Apr 30, 2022 | -273.27% |
| Jan 31, 2022 | -1,655.19% |
| Oct 31, 2021 | -1,265.21% |
| Jul 31, 2021 | -5,150.05% |
API Access
GPO Plus EBITDA 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=ebitda-margin&ticker=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();