GPO Plus (GPOX) Payables (2018 - 2026)
GPO Plus' Payables came in at $4.78 million for fiscal Q4 2026 (quarter ended Apr 30, 2026), up 15.4% from $4.14 million a year earlier but down 4.1% from the prior quarter.
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Analysis
GPO Plus (GPOX) Payables (2018 - 2026) Analysis & Trends
Going back to fiscal Q3 2018, GPO Plus' Payables data covers 34 quarters.
- Payables has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 87.5% (FY2021 to FY2026).
- Going back by fiscal year, Payables was $4.14 million in FY2025 (+17.4%), $3.53 million in FY2024 (+104.1%), $1.73 million in FY2023 (+84.5%) and $937,126 in FY2022 (+354.6%).
- The five-year range for quarterly Payables is $196,550 (fiscal Q2 2022) to $4.98 million (fiscal Q3 2026).
- Year-over-year, Payables has increased for five consecutive quarters, with growth averaging 54.8% over the last eight quarters.
- The fastest year-over-year change in Payables over five years came in fiscal Q3 2022 (growth of 436.8%), and the weakest in fiscal Q1 2024 (a decline of 14.9%).
- Business Quant data shows GPOX's Payables at $4.98 million (Q3 2026), $4.6 million (Q2 2026) and $4.28 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 78.75 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 22.36 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 6.64 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 10.78 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 4.35 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 853.66 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 1.63 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 2.96 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 1.76 Bn |
| 10 | GPO Plus | 1.15 Mn | 2.87 Mn | 345,265.00 | 4.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 4.78 Mn |
| Jan 31, 2026 | 4.98 Mn |
| Oct 31, 2025 | 4.60 Mn |
| Jul 31, 2025 | 4.28 Mn |
| Apr 30, 2025 | 4.14 Mn |
| Jan 31, 2025 | 3.81 Mn |
| Oct 31, 2024 | 3.69 Mn |
| Jul 31, 2024 | 3.70 Mn |
| Apr 30, 2024 | 3.53 Mn |
| Jan 31, 2024 | 3.82 Mn |
| Oct 31, 2023 | 3.01 Mn |
| Jul 31, 2023 | 897,193.00 |
| Apr 30, 2023 | 1.73 Mn |
| Jan 31, 2023 | 1.14 Mn |
| Oct 31, 2022 | 840,888.00 |
| Jul 31, 2022 | 1.05 Mn |
| Apr 30, 2022 | 937,126.00 |
| Jan 31, 2022 | 248,292.00 |
| Oct 31, 2021 | 196,550.00 |
| Jul 31, 2021 | 197,564.00 |
API Access
GPO Plus 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=payables&ticker=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();