GPO Plus (GPOX) Change in Accrued Expenses (2018 - 2026)
GPO Plus' Change in Accrued Expenses was $231,909 in fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with -$100,701 a year earlier and up 288.3% from the prior quarter.
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Analysis
GPO Plus (GPOX) Change in Accrued Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, GPO Plus' Change in Accrued Expenses was $519,949 through Jul 31, 2026; for FY2026 (ended Apr 30, 2026), it came in at $187,339, down 19.0% from FY2025.
- Change in Accrued Expenses shows a five-year compound annual growth rate of -1.4% (FY2021 to FY2026).
- In earlier fiscal years, Change in Accrued 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%).
- The fiscal Q1 2027 figure marks the highest quarterly Change in Accrued Expenses since fiscal Q4 2024.
- The best year-over-year quarter for Change in Accrued 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 Accrued Expenses in the three fiscal quarters before Q1 2027 was $59,725 (Q4 2026), $49,015 (Q3 2026) and $179,300 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.08 Bn | 958.78 Bn | 49.13 Bn | 1.90 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 | -132.00 Mn |
| 5 | Dollar General | 30.30 Bn | 24.97 Bn | 3.68 Bn | 188.24 Mn |
| 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 | -50.26 Mn |
| 8 | US Foods Holding | 23.58 Bn | 23.38 Bn | 1.90 Bn | 71.00 Mn |
| 9 | Tractor Supply | 19.47 Bn | 18.63 Bn | 1.42 Bn | 36.35 Mn |
| 10 | GPO Plus | 966,587.63 | 2.76 Mn | 298,163.00 | 231,909.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 231,909.00 |
| 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 |
API Access
GPO Plus Change in Accrued 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();