Sfl (SFL) Other Non-Current Liabilities (2009 - 2026)
Sfl's Other Liabilities was $1.7 million in the quarter ended Sep 30, 2026, down 77.0% from $7.39 million a year earlier and down 83.2% from the prior quarter.
Sfl (SFL) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Other Liabilities at Sfl came in at $6.42 million, up 498.6% from the prior year.
- Other Liabilities shows a five-year compound annual growth rate of -27.8% (years ended Dec 2020 to Dec 2025).
- In earlier years, Other Liabilities was $1.07 million in the year ended Dec 31, 2024 (-88.0%), $8.97 million in the year ended Dec 31, 2023 (-37.5%), $14.36 million in the year ended Dec 31, 2022 (-16.6%) and $17.21 million in the year ended Dec 31, 2021 (-47.4%).
- The figure for the quarter ended Sep 30, 2026 marks the lowest quarterly Other Liabilities since the quarter ended Dec 31, 2024.
- Compared with a year earlier, Other Liabilities was higher in five of the last eight quarters, with growth averaging 63.9%.
- The best year-over-year quarter for Other Liabilities over five years was the quarter ended Dec 31, 2025 (growth of 498.6%); the worst was the quarter ended Dec 31, 2024 (a decline of 88.0%).
- Per Business Quant data, SFL's Other Liabilities in the three quarters before the quarter ended Sep 30, 2026 was $10.07 million (quarter ended Jun 30, 2026), $7.64 million (quarter ended Mar 31, 2026) and $6.42 million (quarter ended Dec 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 176.50 Bn | 168.74 Bn | - |
| 2 | United Parcel Service | 94.38 Bn | 71.20 Bn | - |
| 3 | Csx | 93.38 Bn | 88.60 Bn | - |
| 4 | Canadian Pacific Kansas City | 83.29 Bn | 82.32 Bn | - |
| 5 | Fedex | 75.61 Bn | 41.81 Bn | - |
| 6 | Norfolk Southern | 73.28 Bn | 67.74 Bn | - |
| 7 | Delta Air Lines | 59.96 Bn | 42.14 Bn | - |
| 8 | United Airlines Holdings | 39.09 Bn | -18.60 Bn | - |
| 9 | Old Dominion Freight Line | 35.40 Bn | 34.24 Bn | - |
| 10 | Sfl | 1.45 Bn | 921.03 Mn | 116.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.70 Mn |
| Jun 30, 2026 | 10.07 Mn |
| Mar 31, 2026 | 7.64 Mn |
| Dec 31, 2025 | 6.42 Mn |
| Sep 30, 2025 | 7.39 Mn |
| Jun 30, 2025 | 6.81 Mn |
| Mar 31, 2025 | 3.47 Mn |
| Dec 31, 2024 | 1.07 Mn |
| Sep 30, 2024 | 8.47 Mn |
| Jun 30, 2024 | 5.78 Mn |
| Mar 31, 2024 | 3.31 Mn |
| Dec 31, 2023 | 8.97 Mn |
| Sep 30, 2023 | 12.02 Mn |
| Jun 30, 2023 | 12.42 Mn |
| Mar 31, 2023 | 23.50 Mn |
| Dec 31, 2022 | 14.36 Mn |
| Sep 30, 2022 | 28.31 Mn |
| Jun 30, 2022 | 33.56 Mn |
| Mar 31, 2022 | 9.87 Mn |
| Dec 31, 2021 | 17.21 Mn |
Sfl Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=SFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();