OpenWorld (OPNW) Long-Term Debt Repayments (2011 - 2025)
OpenWorld's Long-Term Debt Repayments was $875,000 in FY2025, up 75.0% from $500,000 in FY2024.
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Analysis
OpenWorld (OPNW) Long-Term Debt Repayments (2011 - 2025) Analysis & Trends
From FY2009 onward, OpenWorld has reported Long-Term Debt Repayments for 10 years.
- Long-Term Debt Repayments shows a three-year compound annual growth rate of -22.5% (FY2022 to FY2025).
- Annual Long-Term Debt Repayments has moved between $500,000 (FY2024) and $2.3 million (FY2023) over five years.
- Per Business Quant data, Long-Term Debt Repayments in earlier years was $500,000 in FY2024 (-78.3%), $2.3 million in FY2023 (+22.2%) and $1.88 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.77 Bn | 165.29 Bn | - | 334.00 Mn |
| 2 | Csx | 89.05 Bn | 85.26 Bn | - | 7.00 Mn |
| 3 | United Parcel Service | 83.97 Bn | 60.86 Bn | - | 39.00 Mn |
| 4 | Canadian Pacific Kansas City | 77.60 Bn | 76.62 Bn | - | 254.47 Mn |
| 5 | Norfolk Southern | 73.07 Bn | 67.71 Bn | - | 606.00 Mn |
| 6 | Fedex | 70.34 Bn | 36.29 Bn | - | 1.34 Bn |
| 7 | Delta Air Lines | 49.90 Bn | 32.09 Bn | - | 1.23 Bn |
| 8 | Old Dominion Freight Line | 38.97 Bn | 38.23 Bn | - | - |
| 9 | United Airlines Holdings | 31.75 Bn | -24.62 Bn | - | 1.45 Bn |
| 10 | OpenWorld | 2.51 Mn | 2.51 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 875,000.00 |
| Dec 31, 2024 | 125,000.00 |
| Sep 30, 2024 | 125,000.00 |
| Jun 30, 2024 | 125,000.00 |
| Mar 31, 2024 | 125,000.00 |
| Dec 31, 2023 | 1.63 Mn |
| Sep 30, 2023 | 425,000.00 |
| Jun 30, 2023 | 125,000.00 |
| Mar 31, 2023 | 125,000.00 |
| Dec 31, 2013 | 150,000.00 |
| Sep 30, 2011 | 92,000.00 |
| Jun 30, 2011 | -33,500.00 |
API Access
OpenWorld 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=OPNW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "OPNW", "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=OPNW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();