GPO Plus (GPOX) Cash & Equivalents (2016 - 2026)
GPO Plus' Cash & Equivalents was $7,506 in fiscal Q4 2026 (quarter ended Apr 30, 2026), down 97.8% from $336,249 a year earlier and down 58.1% from the prior quarter.
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Analysis
GPO Plus (GPOX) Cash & Equivalents (2016 - 2026) Analysis & Trends
From fiscal Q1 2017 onward, GPO Plus has reported Cash & Equivalents for 27 quarters.
- Cash & Equivalents shows a five-year compound annual growth rate of -9.6% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $336,249 in FY2025 (+384.4%), $69,415 in FY2024 (+25.1%), $55,496 in FY2023 and $2,877 in FY2022 (-76.8%).
- The fiscal Q4 2026 figure marks the lowest quarterly Cash & Equivalents since fiscal Q1 2023.
- Compared with a year earlier, Cash & Equivalents was higher in five of the last eight quarters, with growth averaging 59.6%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q4 2025 (growth of 384.4%); the worst was fiscal Q4 2026 (a decline of 97.8%).
- Per Business Quant data, GPOX's Cash & Equivalents in the three fiscal quarters before Q4 2026 was $17,897 (Q3 2026), $37,901 (Q2 2026) and $138,135 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 405.79 Bn | 335.09 Bn | 9.01 Bn | 18.95 Bn |
| 3 | Sysco | 37.26 Bn | 31.51 Bn | 4.13 Bn | 1.79 Bn |
| 4 | Kroger | 35.13 Bn | 21.29 Bn | 7.86 Bn | 1.68 Bn |
| 5 | Dollar General | 26.23 Bn | 20.91 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Caseys General Stores | 22.90 Bn | 20.89 Bn | 1.24 Bn | 524.06 Mn |
| 7 | Dollar Tree | 21.48 Bn | 18.10 Bn | 2.10 Bn | 1.06 Bn |
| 8 | US Foods Holding | 20.32 Bn | 20.12 Bn | 1.92 Bn | 56.00 Mn |
| 9 | Tractor Supply | 16.56 Bn | 15.72 Bn | 1.68 Bn | 231.59 Mn |
| 10 | GPO Plus | 1.15 Mn | 2.87 Mn | 345,265.00 | 7,506.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 7,506.00 |
| Jan 31, 2026 | 17,897.00 |
| Oct 31, 2025 | 37,901.00 |
| Jul 31, 2025 | 138,135.00 |
| Apr 30, 2025 | 336,249.00 |
| Jan 31, 2025 | 9,838.00 |
| Oct 31, 2024 | 16,363.00 |
| Jul 31, 2024 | 56,724.00 |
| Apr 30, 2024 | 69,415.00 |
| Jan 31, 2024 | 406,662.00 |
| Oct 31, 2023 | 74,102.00 |
| Jul 31, 2023 | 52,400.00 |
| Apr 30, 2023 | 55,496.00 |
| Jan 31, 2023 | 224,224.00 |
| Oct 31, 2022 | 184,548.00 |
| Jul 31, 2022 | 2,536.00 |
| Apr 30, 2022 | 2,877.00 |
| Jan 31, 2022 | 60,572.00 |
| Oct 31, 2021 | 16,259.00 |
| Jul 31, 2021 | 64,639.00 |
API Access
GPO Plus Cash & Equivalents 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=cash-and-equivalents&ticker=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();