GPO Plus (GPOX) Accumulated Expenses (2021 - 2026)
GPO Plus' Accumulated Expenses was $739,968 in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 63.0% from $453,845 a year earlier and up 34.1% from the prior quarter.
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Analysis
GPO Plus (GPOX) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Accumulated Expenses at GPO Plus came in at $551,996, up 9.3% from FY2025.
- Accumulated Expenses has now increased for four consecutive fiscal years, with a four-year compound annual growth rate of 104.9% (FY2022 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $504,811 in FY2025 (+82.8%), $276,190 in FY2024 (+131.1%), $119,488 in FY2023 (+281.7%) and $31,304 in FY2022.
- The fiscal Q1 2027 figure marks the highest quarterly Accumulated Expenses in data going back to fiscal Q1 2022.
- Compared with a year earlier, Accumulated Expenses has increased for 16 straight quarters, with growth averaging 48.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Accumulated Expenses ran from 9.3% in fiscal Q4 2026 to 410.3% in fiscal Q2 2023.
- Per Business Quant data, GPOX's Accumulated Expenses in the three fiscal quarters before Q1 2027 was $551,996 (Q4 2026), $548,981 (Q3 2026) and $499,966 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 996.08 Bn | 958.78 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 472.58 Bn | 395.86 Bn | 12.19 Bn |
| 3 | Kroger | 40.51 Bn | 26.67 Bn | 7.86 Bn |
| 4 | Sysco | 38.21 Bn | 30.14 Bn | 4.05 Bn |
| 5 | Dollar General | 30.30 Bn | 24.97 Bn | 3.68 Bn |
| 6 | Dollar Tree | 26.43 Bn | 23.05 Bn | 2.10 Bn |
| 7 | Caseys General Stores | 25.82 Bn | 23.81 Bn | 1.24 Bn |
| 8 | US Foods Holding | 23.58 Bn | 23.38 Bn | 1.90 Bn |
| 9 | Tractor Supply | 19.47 Bn | 18.63 Bn | 1.42 Bn |
| 10 | GPO Plus | 966,587.63 | 2.76 Mn | 298,163.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 739,968.00 |
| Apr 30, 2026 | 551,996.00 |
| Jan 31, 2026 | 548,981.00 |
| Oct 31, 2025 | 499,966.00 |
| Jul 31, 2025 | 453,845.00 |
| Apr 30, 2025 | 504,811.00 |
| Jan 31, 2025 | 427,763.00 |
| Oct 31, 2024 | 378,214.00 |
| Jul 31, 2024 | 313,892.00 |
| Apr 30, 2024 | 276,190.00 |
| Jan 31, 2024 | 274,621.00 |
| Oct 31, 2023 | 218,874.00 |
| Jul 31, 2023 | 163,107.00 |
| Apr 30, 2023 | 119,488.00 |
| Jan 31, 2023 | 85,967.00 |
| Oct 31, 2022 | 59,476.00 |
| Jul 31, 2022 | 42,237.00 |
| Apr 30, 2022 | 31,304.00 |
| Jan 31, 2022 | 21,802.00 |
| Oct 31, 2021 | 11,654.00 |
API Access
GPO Plus Accumulated Expenses 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=accumulated-expenses&ticker=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();