GPO Plus (GPOX) Net Debt Issuances and Repayments (2017 - 2026)
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Analysis
GPO Plus (GPOX) Net Debt Issuances and Repayments (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 947.88 Bn | 904.31 Bn | 49.13 Bn | -1.01 Bn |
| 2 | Costco Wholesale | 445.94 Bn | 369.22 Bn | 12.19 Bn | -36.00 Mn |
| 3 | Kroger | 40.37 Bn | 26.52 Bn | 7.86 Bn | - |
| 4 | Sysco | 39.13 Bn | 33.38 Bn | 4.13 Bn | -556.00 Mn |
| 5 | Dollar General | 28.90 Bn | 23.58 Bn | 3.68 Bn | -7.80 Mn |
| 6 | Caseys General Stores | 25.57 Bn | 23.56 Bn | 1.24 Bn | -2.58 Mn |
| 7 | Dollar Tree | 23.54 Bn | 20.16 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.02 Bn | 21.82 Bn | 1.92 Bn | 15.00 Mn |
| 9 | Tractor Supply | 17.56 Bn | 16.73 Bn | 1.68 Bn | 29.27 Mn |
| 10 | GPO Plus | 1.01 Mn | 808,042.27 | 345,265.00 | 364,317.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 364,317.00 |
| Jan 31, 2026 | 240,766.00 |
| Oct 31, 2025 | 240,518.00 |
| Jul 31, 2025 | 236,120.00 |
| Apr 30, 2025 | 379,167.00 |
| Jan 31, 2025 | 55,475.00 |
| Oct 31, 2024 | 195,470.00 |
| Jul 31, 2024 | -40,029.00 |
| Apr 30, 2024 | -78,410.00 |
| Jan 31, 2024 | 334,862.00 |
| Oct 31, 2023 | 272,444.00 |
| Jul 31, 2023 | 311,277.00 |
| Apr 30, 2023 | 425,629.00 |
| Jan 31, 2023 | 350,000.00 |
| Oct 31, 2022 | 500,000.00 |
| Jul 31, 2022 | 75,000.00 |
| Oct 31, 2021 | 147,000.00 |
| Jul 31, 2021 | 250,000.00 |
| Oct 31, 2020 | -50,000.00 |
| Jul 31, 2020 | 50,000.00 |
API Access
GPO Plus Net Debt Issuances and Repayments 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=net-debt-issuances-and-repayments&ticker=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-repayments", "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=net-debt-issuances-and-repayments&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();