Sfl (SFL) Total Liabilities (2009 - 2026)
Sfl (SFL) recorded Total Liabilities of $2.48 billion in the quarter ended Jun 30, 2026, up 31.6% from $1.88 billion a year earlier and up 37.8% from the prior quarter.
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Analysis
Sfl (SFL) Total Liabilities (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Sfl reported Total Liabilities of $1.73 billion, down 12.2% from the prior year.
- Annual Total Liabilities has a five-year compound annual growth rate of -5.6% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Total Liabilities came in at $1.97 billion in the year ended Dec 31, 2024 (+12.2%), $1.75 billion in the year ended Dec 31, 2023 (-36.7%), $2.77 billion in the year ended Dec 31, 2022 (+11.8%) and $2.48 billion in the year ended Dec 31, 2021 (+7.8%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Total Liabilities since the quarter ended Mar 31, 2024.
- On a year-over-year basis, Total Liabilities rose in three of the last eight quarters, with an average decline of 3.9%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 31.6% in the quarter ended Jun 30, 2026, against a decline of 36.7% in the quarter ended Dec 31, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.8 billion (quarter ended Mar 31, 2026), $1.76 billion (quarter ended Dec 31, 2025) and $1.87 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 50.54 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Sfl | 1.86 Bn | 1.86 Bn | - | 2.48 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.48 Bn |
| Mar 31, 2026 | 1.80 Bn |
| Dec 31, 2025 | 1.76 Bn |
| Sep 30, 2025 | 1.87 Bn |
| Jun 30, 2025 | 1.88 Bn |
| Mar 31, 2025 | 1.87 Bn |
| Dec 31, 2024 | 1.95 Bn |
| Sep 30, 2024 | 1.98 Bn |
| Jun 30, 2024 | 1.87 Bn |
| Mar 31, 2024 | 2.73 Bn |
| Dec 31, 2023 | 1.75 Bn |
| Sep 30, 2023 | 2.63 Bn |
| Jun 30, 2023 | 2.76 Bn |
| Mar 31, 2023 | 2.71 Bn |
| Dec 31, 2022 | 2.77 Bn |
| Sep 30, 2022 | 2.62 Bn |
| Jun 30, 2022 | 2.54 Bn |
| Mar 31, 2022 | 2.59 Bn |
| Dec 31, 2021 | 2.48 Bn |
| Sep 30, 2021 | 2.61 Bn |
API Access
Sfl Total 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=total-liabilities&ticker=SFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-liabilities&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();