GPO Plus (GPOX) Long-Term Debt Repayments (2018 - 2026)
GPO Plus (GPOX) recorded Long-Term Debt Repayments of $141,916 in FY2026 (year ended Apr 30, 2026), up 43.0% from $99,220 in FY2025.
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Analysis
GPO Plus (GPOX) Long-Term Debt Repayments (2018 - 2026) Analysis & Trends
Starting with FY2018, GPO Plus' Long-Term Debt Repayments history includes 5 fiscal years.
- Annual Long-Term Debt Repayments has a three-year compound annual growth rate of 37.2% (FY2023 to FY2026).
- Annual Long-Term Debt Repayments has ranged from $55,000 in FY2023 to $286,880 in FY2024 over the past five years.
- Per Business Quant data, GPOX's Long-Term Debt Repayments was $99,220 in FY2025 (-65.4%), $286,880 in FY2024 (+421.6%) and $55,000 in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 960.94 Bn | 923.64 Bn | 49.13 Bn | 799.00 Mn |
| 2 | Costco Wholesale | 451.34 Bn | 374.62 Bn | 12.19 Bn | -57.00 Mn |
| 3 | Sysco | 40.22 Bn | 34.47 Bn | 4.13 Bn | 42.00 Mn |
| 4 | Kroger | 40.09 Bn | 26.25 Bn | 7.86 Bn | - |
| 5 | Dollar General | 30.69 Bn | 25.37 Bn | 3.68 Bn | 7.80 Mn |
| 6 | Caseys General Stores | 26.38 Bn | 24.37 Bn | 1.24 Bn | 45.21 Mn |
| 7 | Dollar Tree | 24.59 Bn | 21.21 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.53 Bn | 22.33 Bn | 1.92 Bn | 2.84 Bn |
| 9 | Tractor Supply | 18.12 Bn | 17.29 Bn | 1.68 Bn | 1.49 Bn |
| 10 | GPO Plus | 1.15 Mn | 2.87 Mn | 345,265.00 | 35,683.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 35,683.00 |
| Jan 31, 2026 | 118,734.00 |
| Oct 31, 2025 | 72,982.00 |
| Jul 31, 2025 | 25,380.00 |
| Apr 30, 2025 | 56,233.00 |
| Jan 31, 2025 | 19,525.00 |
| Oct 31, 2024 | 49,530.00 |
| Jul 31, 2024 | 40,029.00 |
| Apr 30, 2024 | 198,410.00 |
| Jan 31, 2024 | 15,138.00 |
| Oct 31, 2023 | 2,556.00 |
| Jul 31, 2023 | 122,223.00 |
| Apr 30, 2023 | 74,371.00 |
| Apr 30, 2018 | -192.00 |
API Access
GPO Plus Long-Term Debt 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=long-term-debt-repayments&ticker=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-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=long-term-debt-repayments&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();