GPO Plus (GPOX) Cash & Equivalents (2016 - 2026)
GPO Plus' Cash & Equivalents was $56,210 in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 59.3% from $138,135 a year earlier but up 648.9% from the prior quarter.
GPO Plus (GPOX) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Cash & Equivalents at GPO Plus came in at $7,506, down 97.8% from FY2025.
- 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%).
- Quarterly Cash & Equivalents has moved between $2,536 (fiscal Q1 2023) and $406,662 (fiscal Q3 2024) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in four of the last eight quarters, with growth averaging 51.1%.
- 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 Q1 2027 was $7,506 (Q4 2026), $17,897 (Q3 2026) and $37,901 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.08 Bn | 958.78 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 472.58 Bn | 395.86 Bn | 12.19 Bn | 20.21 Bn |
| 3 | Kroger | 40.51 Bn | 26.67 Bn | 7.86 Bn | 1.68 Bn |
| 4 | Sysco | 38.21 Bn | 30.14 Bn | 4.05 Bn | 3.17 Bn |
| 5 | Dollar General | 30.30 Bn | 24.97 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Dollar Tree | 26.43 Bn | 23.05 Bn | 2.10 Bn | 1.06 Bn |
| 7 | Caseys General Stores | 25.82 Bn | 23.81 Bn | 1.24 Bn | 524.06 Mn |
| 8 | US Foods Holding | 23.58 Bn | 23.38 Bn | 1.90 Bn | 54.00 Mn |
| 9 | Tractor Supply | 19.47 Bn | 18.63 Bn | 1.42 Bn | 198.88 Mn |
| 10 | GPO Plus | 966,587.63 | 2.76 Mn | 298,163.00 | 56,210.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 56,210.00 |
| 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 |
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_KEY
import 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();