GPO Plus (GPOX) Return on Assets [ROA] (2017 - 2026)
GPO Plus (GPOX) recorded Return on Assets [ROA] of -495.81% in fiscal Q4 2026 (quarter ended Apr 30, 2026), up 147.90 percentage points from -643.71% a year earlier and up 176.14 percentage points from the prior quarter.
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Analysis
GPO Plus (GPOX) Return on Assets [ROA] (2017 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), GPO Plus reported Return on Assets [ROA] of -441.46%, up 72.17 percentage points from FY2025.
- Annual Return on Assets [ROA] has increased for four straight fiscal years, with a five-year change of +3250.39 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Assets [ROA] came in at -513.64% in FY2025 (+145.93 pp), -659.57% in FY2024 (+113.73 pp), -773.30% in FY2023 (+11591.81 pp) and -12365.11% in FY2022 (-8673.26 pp).
- The fiscal Q4 2026 figure is the highest quarterly Return on Assets [ROA] since fiscal Q1 2025.
- On a year-over-year basis, Return on Assets [ROA] rose in three of the last eight quarters, with an average year-over-year change of -9.05 percentage points.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 13985.17 percentage points in fiscal Q1 2023, against a drop of 16219.27 percentage points in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -671.95% (Q3 2026), -533.09% (Q2 2026) and -531.09% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 7.71% |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 10.39% |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 6.23% |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 1.60% |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 5.33% |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 8.56% |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 11.58% |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 5.11% |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 8.49% |
| 10 | GPO Plus | 1.15 Mn | 2.87 Mn | 345,265.00 | -495.81% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | -495.81% |
| Jan 31, 2026 | -671.95% |
| Oct 31, 2025 | -533.09% |
| Jul 31, 2025 | -531.09% |
| Apr 30, 2025 | -643.71% |
| Jan 31, 2025 | -590.44% |
| Oct 31, 2024 | -517.98% |
| Jul 31, 2024 | -473.57% |
| Apr 30, 2024 | -459.90% |
| Jan 31, 2024 | -437.28% |
| Oct 31, 2023 | -557.37% |
| Jul 31, 2023 | -704.98% |
| Apr 30, 2023 | -707.83% |
| Jan 31, 2023 | -524.01% |
| Oct 31, 2022 | -1,621.82% |
| Jul 31, 2022 | -2,397.99% |
| Apr 30, 2022 | -6,459.93% |
| Jan 31, 2022 | -10,653.57% |
| Oct 31, 2021 | -14,952.11% |
| Jul 31, 2021 | -16,383.16% |
API Access
GPO Plus Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();