GPO Plus (GPOX) Change in Accured Expenses (2018 - 2026)
GPO Plus' Change in Accured Expenses was $59,725 in fiscal Q4 2026 (quarter ended Apr 30, 2026), down 25.2% from $79,830 a year earlier but up 21.9% from the prior quarter.
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Analysis
GPO Plus (GPOX) Change in Accured Expenses (2018 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Change in Accured Expenses at GPO Plus came in at $187,339, down 19.0% from FY2025.
- Change in Accured Expenses shows a five-year compound annual growth rate of -1.4% (FY2021 to FY2026).
- In earlier fiscal years, Change in Accured Expenses was $231,403 in FY2025 (-77.8%), $1.04 million in FY2024 (+631.9%), $142,169 in FY2023 (-54.6%) and $313,465 in FY2022 (+56.0%).
- Quarterly Change in Accured Expenses has moved between -$145,342 (fiscal Q3 2024) and $708,285 (fiscal Q4 2024) over five years.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q4 2024 (growth of 764.0%); the worst was fiscal Q2 2023 (a decline of 100.0%).
- Per Business Quant data, GPOX's Change in Accured Expenses in the three fiscal quarters before Q4 2026 was $49,015 (Q3 2026), $179,300 (Q2 2026) and -$100,701 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 1.90 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 114.00 Mn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 188.24 Mn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | -50.26 Mn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 5.00 Mn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 272.58 Mn |
| 10 | GPO Plus | 1.15 Mn | 2.87 Mn | 345,265.00 | 59,725.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 59,725.00 |
| Jan 31, 2026 | 49,015.00 |
| Oct 31, 2025 | 179,300.00 |
| Jul 31, 2025 | -100,701.00 |
| Apr 30, 2025 | 79,830.00 |
| Jan 31, 2025 | 49,549.00 |
| Oct 31, 2024 | -71,531.00 |
| Jul 31, 2024 | 173,555.00 |
| Apr 30, 2024 | 708,285.00 |
| Jan 31, 2024 | -145,342.00 |
| Oct 31, 2023 | 97,409.00 |
| Jul 31, 2023 | 380,157.00 |
| Apr 30, 2023 | 81,978.00 |
| Jan 31, 2023 | 7,172.00 |
| Oct 31, 2022 | 31.00 |
| Jul 31, 2022 | 52,988.00 |
| Apr 30, 2022 | 196,840.00 |
| Jan 31, 2022 | 56,625.00 |
| Oct 31, 2021 | 68,578.00 |
| Jul 31, 2021 | -8,578.00 |
API Access
GPO Plus Change in Accured 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=change-in-accured-expenses&ticker=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();