Sfl (SFL) Income After Tax (2009 - 2026)
Sfl (SFL) posted Income After Tax of $92.51 million for the quarter ended Sep 30, 2026, compared with $8.37 million a year earlier and up 167.4% from the prior quarter.
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Analysis
Sfl (SFL) Income After Tax (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Income After Tax at Sfl was $151.3 million, up 40.7% year-over-year; for the year ended Dec 31, 2025, it was -$26.43 million.
- In prior years, Sfl's Income After Tax was $130.65 million in the year ended Dec 31, 2024 (+55.7%), $83.94 million in the year ended Dec 31, 2023 (-58.6%), $202.77 million in the year ended Dec 31, 2022 (+23.4%) and $164.34 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Sep 30, 2026 stands as the highest quarterly Income After Tax since the quarter ended Dec 31, 2024.
- The strongest year-over-year quarter for Income After Tax in the past five years was the quarter ended Mar 31, 2024, with growth of 703.3%; the weakest was the quarter ended Jun 30, 2025, with a decline of 98.1%.
- According to Business Quant data, Income After Tax for the three prior quarters was $34.59 million (quarter ended Jun 30, 2026), $27.34 million (quarter ended Mar 31, 2026) and -$3.14 million (quarter ended Dec 31, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 176.50 Bn | 168.74 Bn | - | 2.08 Bn |
| 2 | United Parcel Service | 94.38 Bn | 71.20 Bn | - | 1.16 Bn |
| 3 | Csx | 93.38 Bn | 88.60 Bn | - | 1.05 Bn |
| 4 | Canadian Pacific Kansas City | 83.29 Bn | 82.32 Bn | - | 654.33 Mn |
| 5 | Fedex | 75.61 Bn | 41.81 Bn | - | 1.60 Bn |
| 6 | Norfolk Southern | 73.28 Bn | 67.74 Bn | - | 759.00 Mn |
| 7 | Delta Air Lines | 59.96 Bn | 42.14 Bn | - | 756.00 Mn |
| 8 | United Airlines Holdings | 39.09 Bn | -18.60 Bn | - | 1.03 Bn |
| 9 | Old Dominion Freight Line | 35.40 Bn | 34.24 Bn | - | 343.75 Mn |
| 10 | Sfl | 1.45 Bn | 921.03 Mn | 116.19 Mn | 38.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 92.51 Mn |
| Jun 30, 2026 | 32.53 Mn |
| Mar 31, 2026 | 27.34 Mn |
| Dec 31, 2025 | -3.14 Mn |
| Sep 30, 2025 | 8.37 Mn |
| Jun 30, 2025 | 2.39 Mn |
| Mar 31, 2025 | -30.29 Mn |
| Dec 31, 2024 | 127.09 Mn |
| Sep 30, 2024 | 161.89 Mn |
| Jun 30, 2024 | 124.99 Mn |
| Mar 31, 2024 | 50.87 Mn |
| Dec 31, 2023 | 125.16 Mn |
| Sep 30, 2023 | 124.67 Mn |
| Jun 30, 2023 | 100.91 Mn |
| Mar 31, 2023 | 6.33 Mn |
| Dec 31, 2022 | 127.51 Mn |
| Sep 30, 2022 | 117.72 Mn |
| Jun 30, 2022 | 115.80 Mn |
| Mar 31, 2022 | 46.32 Mn |
| Dec 31, 2021 | 113.45 Mn |
API Access
Sfl Income After Tax 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=profit-after-tax&ticker=SFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();