GPO Plus (GPOX) Notes Payables (2022 - 2026)
GPO Plus (GPOX) posted Short-Term Borrowings of $4.01 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 40.2% from $2.86 million a year earlier and up 7.1% from the prior quarter.
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Analysis
GPO Plus (GPOX) Notes Payables (2022 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), GPO Plus' Short-Term Borrowings came in at $3.75 million, up 42.4% from FY2025.
- Annual Short-Term Borrowings has increased for four consecutive fiscal years, with a four-year compound annual growth rate of 73.1% (FY2022 to FY2026).
- In prior fiscal years, GPO Plus' Short-Term Borrowings was $2.63 million in FY2025 (+33.6%), $1.97 million in FY2024 (+62.6%), $1.21 million in FY2023 (+190.2%) and $417,520 in FY2022.
- The fiscal Q1 2027 figure stands as the highest quarterly Short-Term Borrowings in data going back to fiscal Q4 2022.
- On a year-over-year basis, Short-Term Borrowings has increased in each of the last six quarters, with growth averaging 31.8% over the last eight quarters.
- The strongest year-over-year quarter for Short-Term Borrowings in the past five years was fiscal Q2 2024, with growth of 388.5%; the weakest was fiscal Q3 2025, with a decline of 5.7%.
- According to Business Quant data, Short-Term Borrowings for the three prior fiscal quarters was $3.75 million (Q4 2026), $3.36 million (Q3 2026) and $3.12 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 994.65 Bn | 951.08 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 469.67 Bn | 392.95 Bn | 12.19 Bn |
| 3 | Kroger | 40.94 Bn | 27.09 Bn | 7.86 Bn |
| 4 | Sysco | 37.29 Bn | 29.21 Bn | 4.05 Bn |
| 5 | Dollar General | 29.72 Bn | 24.39 Bn | 3.68 Bn |
| 6 | Dollar Tree | 25.99 Bn | 22.61 Bn | 2.10 Bn |
| 7 | Caseys General Stores | 25.59 Bn | 23.59 Bn | 1.24 Bn |
| 8 | US Foods Holding | 23.41 Bn | 23.21 Bn | 1.90 Bn |
| 9 | Tractor Supply | 19.13 Bn | 18.28 Bn | 1.42 Bn |
| 10 | GPO Plus | 548,004.10 | 428,490.10 | 298,163.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.01 Mn |
| Apr 30, 2026 | 3.75 Mn |
| Jan 31, 2026 | 3.36 Mn |
| Oct 31, 2025 | 3.12 Mn |
| Jul 31, 2025 | 2.86 Mn |
| Apr 30, 2025 | 2.63 Mn |
| Jan 31, 2025 | 2.28 Mn |
| Oct 31, 2024 | 2.18 Mn |
| Jul 31, 2024 | 1.97 Mn |
| Apr 30, 2024 | 1.97 Mn |
| Jan 31, 2024 | 2.42 Mn |
| Oct 31, 2023 | 2.02 Mn |
| Apr 30, 2023 | 1.21 Mn |
| Jan 31, 2023 | 703,839.00 |
| Oct 31, 2022 | 413,000.00 |
| Jul 31, 2022 | 494,280.00 |
| Apr 30, 2022 | 417,520.00 |
API Access
GPO Plus Notes Payables 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=notes-payables&ticker=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();