GPO Plus (GPOX) EBITDA Margin (2020 - 2026)
GPO Plus (GPOX) posted EBITDA Margin of -32.60% for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 3.83 percentage points from -28.77% a year earlier but up 7.34 percentage points from the prior quarter.
GPO Plus (GPOX) EBITDA Margin (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, EBITDA Margin at GPO Plus was -35.38%, up 25.88 percentage points year-over-year; for FY2026 (ended Apr 30, 2026), it was -34.47%, up 29.37 percentage points from FY2025.
- Annual EBITDA Margin has increased for four consecutive fiscal years, with a five-year change of +57.08 percentage points (FY2021 to FY2026).
- In prior fiscal years, GPO Plus' EBITDA Margin was -63.84% in FY2025 (+16.15 pp), -79.98% in FY2024 (+420.74 pp), -500.72% in FY2023 (+1989.84 pp) and -2490.57% in FY2022 (-2399.02 pp).
- Quarterly EBITDA Margin has run from a low of -2020.38% in fiscal Q2 2023 to a high of -20.38% in fiscal Q3 2025 over five years.
- On a year-over-year basis, EBITDA Margin increased in five of the last eight quarters, with an average year-over-year change of +17.57 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was fiscal Q1 2023, with a gain of 3300.23 percentage points; the weakest was fiscal Q3 2022, with a drop of 1596.91 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior fiscal quarters was -39.95% (Q4 2026), -42.38% (Q3 2026) and -28.11% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.08 Bn | 958.78 Bn | 49.13 Bn | 7.08% |
| 2 | Costco Wholesale | 472.58 Bn | 395.86 Bn | 12.19 Bn | 4.89% |
| 3 | Kroger | 40.51 Bn | 26.67 Bn | 7.86 Bn | 4.93% |
| 4 | Sysco | 38.21 Bn | 30.14 Bn | 4.05 Bn | 4.93% |
| 5 | Dollar General | 30.30 Bn | 24.97 Bn | 3.68 Bn | 9.27% |
| 6 | Dollar Tree | 26.43 Bn | 23.05 Bn | 2.10 Bn | 17.79% |
| 7 | Caseys General Stores | 25.82 Bn | 23.81 Bn | 1.24 Bn | 10.59% |
| 8 | US Foods Holding | 23.58 Bn | 23.38 Bn | 1.90 Bn | 4.75% |
| 9 | Tractor Supply | 19.47 Bn | 18.63 Bn | 1.42 Bn | 11.27% |
| 10 | GPO Plus | 966,587.63 | 2.76 Mn | 298,163.00 | -32.60% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -32.60% |
| Apr 30, 2026 | -39.95% |
| Jan 31, 2026 | -42.38% |
| Oct 31, 2025 | -28.11% |
| Jul 31, 2025 | -28.77% |
| Apr 30, 2025 | -167.69% |
| 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% |
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_KEY
import 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();