Sfl (SFL) Long-Term Debt Repayments (2009 - 2026)
Sfl's Long-Term Debt Repayments came in at -$56.83 million for the quarter ended Sep 30, 2026, compared with -$62.65 million a year earlier.
Sfl (SFL) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Sfl reported Long-Term Debt Repayments of -$750.52 million; for the year ended Dec 31, 2025, it was $538.43 million, down 51.5% from the prior year.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -6.7% (years ended Dec 2020 to Dec 2025).
- Going back by year, Long-Term Debt Repayments was $1.11 billion in the year ended Dec 31, 2024 (+6.6%), $1.04 billion in the year ended Dec 31, 2023 (+57.1%), $662.51 million in the year ended Dec 31, 2022 (+17.2%) and $565.44 million in the year ended Dec 31, 2021 (-25.6%).
- The figure for the quarter ended Sep 30, 2026 represents the highest quarterly Long-Term Debt Repayments since the quarter ended Dec 31, 2024.
- Business Quant data shows SFL's Long-Term Debt Repayments at -$276.5 million (quarter ended Jun 30, 2026), -$219.99 million (quarter ended Mar 31, 2026) and -$197.2 million (quarter ended Dec 31, 2025) in the three quarters before the quarter ended Sep 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 176.50 Bn | 168.74 Bn | - | 13.00 Mn |
| 2 | United Parcel Service | 94.38 Bn | 71.20 Bn | - | 48.00 Mn |
| 3 | Csx | 93.38 Bn | 88.60 Bn | - | 1.00 Mn |
| 4 | Canadian Pacific Kansas City | 83.29 Bn | 82.32 Bn | - | 4.29 Mn |
| 5 | Fedex | 75.61 Bn | 41.81 Bn | - | 1.34 Bn |
| 6 | Norfolk Southern | 73.28 Bn | 67.74 Bn | - | 11.00 Mn |
| 7 | Delta Air Lines | 59.96 Bn | 42.14 Bn | - | 1.23 Bn |
| 8 | United Airlines Holdings | 39.09 Bn | -18.60 Bn | - | 1.00 Bn |
| 9 | Old Dominion Freight Line | 35.40 Bn | 34.24 Bn | - | - |
| 10 | Sfl | 1.45 Bn | 921.03 Mn | 116.19 Mn | -56.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -56.83 Mn |
| Jun 30, 2026 | -276.50 Mn |
| Mar 31, 2026 | -219.99 Mn |
| Dec 31, 2025 | -197.20 Mn |
| Sep 30, 2025 | -62.65 Mn |
| Jun 30, 2025 | -155.25 Mn |
| Mar 31, 2025 | -112.19 Mn |
| Dec 31, 2024 | -51.72 Mn |
| Sep 30, 2024 | -359.29 Mn |
| Jun 30, 2024 | -47.65 Mn |
| Mar 31, 2024 | -98.07 Mn |
| Dec 31, 2023 | -60.84 Mn |
| Sep 30, 2023 | -99.39 Mn |
| Jun 30, 2023 | -367.87 Mn |
| Mar 31, 2023 | 53.00 Mn |
| Dec 31, 2022 | -205.16 Mn |
| Sep 30, 2022 | -246.36 Mn |
| Jun 30, 2022 | -88.64 Mn |
| Mar 31, 2022 | -71.14 Mn |
| Dec 31, 2021 | -34.58 Mn |
Sfl 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=SFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "SFL", "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=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();