GPO Plus (GPOX) Capital Expenditures (2017 - 2024)
GPO Plus' Capital Expenditures came in at $67,874 for FY2025 (year ended Apr 30, 2025), up 14.1% from $59,503 in FY2024.
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Analysis
GPO Plus (GPOX) Capital Expenditures (2017 - 2024) Analysis & Trends
Going back to FY2017, GPO Plus' Capital Expenditures data covers 5 fiscal years.
- Capital Expenditures carries a four-year compound annual growth rate of 85.6% (FY2021 to FY2025).
- The FY2025 figure represents the highest annual Capital Expenditures in data going back to FY2017.
- Per Business Quant, earlier fiscal years put Capital Expenditures at $59,503 in FY2024 and $5,719 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 7.50 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 1.41 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 239.00 Mn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | - |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 406.85 Mn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 194.40 Mn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 246.30 Mn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 76.00 Mn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 233.10 Mn |
| 10 | GPO Plus | 1.15 Mn | 2.87 Mn | 345,265.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2024 | 67,874.00 |
| Jan 31, 2024 | 31,503.00 |
| Oct 31, 2023 | 28,000.00 |
| Apr 30, 2021 | 1,916.00 |
| Jul 31, 2020 | 1,916.00 |
| Apr 30, 2018 | -10,200.00 |
| Jul 31, 2017 | 5,100.00 |
API Access
GPO Plus Capital Expenditures 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=capital-expenditures&ticker=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();