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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 7.08% |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 4.84% |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 5.58% |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 4.93% |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 9.27% |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 10.59% |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 17.79% |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 5.33% |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 13.17% |
| 10 | GPO Plus | 1.15 Mn | 2.87 Mn | 345,265.00 | -43.00% |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | -43.00% |
| Jan 31, 2026 | -46.84% |
| Oct 31, 2025 | -30.95% |
| Jul 31, 2025 | -31.44% |
| Apr 30, 2025 | -169.88% |
| Jan 31, 2025 | -22.63% |
| Oct 31, 2024 | -40.47% |
| Jul 31, 2024 | -38.53% |
| Apr 30, 2024 | -142.99% |
| Jan 31, 2024 | -67.21% |
| Oct 31, 2023 | -61.00% |
| Jul 31, 2023 | -94.56% |
| Apr 30, 2023 | -251.35% |
| Jan 31, 2023 | -697.38% |
| Oct 31, 2022 | -2,066.56% |
| Jul 31, 2022 | -1,954.61% |
| Apr 30, 2022 | -314.46% |
| Jan 31, 2022 | -1,678.57% |
| Oct 31, 2021 | -1,308.87% |
| Jul 31, 2021 | -5,160.04% |
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();