Sfl (SFL) Net Income (2009 - 2026)
Sfl (SFL) reported Net Income of $23.97 million for the quarter ended Jun 30, 2026, compared with $935,032 a year earlier and up 32.3% from the prior quarter.
Sfl (SFL) Net Income (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sfl's Net Income came in at $47.44 million, down 70.5% year-over-year; for the year ended Dec 31, 2025, it came in at -$17.05 million.
- By year, Net Income came in at $86.24 million in the year ended Dec 31, 2024 (-68.4%), $273.15 million in the year ended Dec 31, 2023 (+34.7%), $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 Jun 30, 2026 ranks as the highest quarterly Net Income since the quarter ended Dec 31, 2024.
- The high point for year-over-year Net Income in five years was the quarter ended Mar 31, 2024 (growth of 703.3%); the low point was the quarter ended Jun 30, 2025 (a decline of 98.7%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $18.11 million (quarter ended Mar 31, 2026), -$3.06 million (quarter ended Dec 31, 2025) and $8.41 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 177.13 Bn | 169.38 Bn | - | 2.08 Bn |
| 2 | Csx | 95.25 Bn | 90.48 Bn | - | 1.05 Bn |
| 3 | Canadian Pacific Kansas City | 79.66 Bn | 79.37 Bn | - | 740.28 Mn |
| 4 | United Parcel Service | 76.08 Bn | 53.01 Bn | - | 604.00 Mn |
| 5 | Norfolk Southern | 75.89 Bn | 70.35 Bn | - | 759.00 Mn |
| 6 | Fedex | 71.92 Bn | 37.86 Bn | - | 1.60 Bn |
| 7 | Delta Air Lines | 52.14 Bn | 34.32 Bn | - | 756.00 Mn |
| 8 | Old Dominion Freight Line | 39.40 Bn | 38.66 Bn | - | 350.60 Mn |
| 9 | United Airlines Holdings | 33.14 Bn | -24.56 Bn | - | 1.03 Bn |
| 10 | Sfl | 1.79 Bn | -144.34 Bn | - | 34.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.19 Mn |
| Mar 31, 2026 | 26.71 Mn |
| Dec 31, 2025 | -4.65 Mn |
| Sep 30, 2025 | 8.63 Mn |
| Jun 30, 2025 | 1.93 Mn |
| Mar 31, 2025 | -31.08 Mn |
| Dec 31, 2024 | 20.20 Mn |
| Sep 30, 2024 | 44.52 Mn |
| Jun 30, 2024 | 20.63 Mn |
| Mar 31, 2024 | 45.30 Mn |
| Dec 31, 2023 | 31.37 Mn |
| Sep 30, 2023 | 29.31 Mn |
| Jun 30, 2023 | 16.93 Mn |
| Mar 31, 2023 | 6.33 Mn |
| Dec 31, 2022 | 48.45 Mn |
| Sep 30, 2022 | 49.89 Mn |
| Jun 30, 2022 | 57.41 Mn |
| Mar 31, 2022 | 47.02 Mn |
| Dec 31, 2021 | 80.12 Mn |
| Sep 30, 2021 | 33.21 Mn |
Sfl Net Income 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=net-income&ticker=SFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();