Sfl (SFL) Consolidated Net Income (2009 - 2026)
Sfl's Consolidated Net Income came in at $34.19 million for the quarter ended Jun 30, 2026, compared with $935,032 a year earlier and up 88.8% from the prior quarter.
Sfl (SFL) Consolidated Net Income (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Sfl reported Consolidated Net Income of $57.66 million, down 66.6% year-over-year; for the year ended Dec 31, 2025, it was -$17.05 million.
- Going back by year, Consolidated Net Income was $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 represents the highest quarterly Consolidated Net Income since the quarter ended Dec 31, 2024.
- The fastest year-over-year change in Consolidated Net Income over five years came in the quarter ended Mar 31, 2024 (growth of 703.3%), and the weakest in the quarter ended Jun 30, 2025 (a decline of 98.7%).
- Business Quant data shows SFL's Consolidated Net Income 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) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 1.99 Bn |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | 1.00 Bn |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | 740.28 Mn |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | 604.00 Mn |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | 734.00 Mn |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | 1.60 Bn |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | 1.60 Bn |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | 350.60 Mn |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | 805.00 Mn |
| 10 | Sfl | 1.95 Bn | 1.95 Bn | - | 34.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.19 Mn |
| Mar 31, 2026 | 18.11 Mn |
| Dec 31, 2025 | -3.06 Mn |
| Sep 30, 2025 | 8.41 Mn |
| Jun 30, 2025 | 935,032.48 |
| Mar 31, 2025 | -20.00 Mn |
| Dec 31, 2024 | 83.11 Mn |
| Sep 30, 2024 | 108.40 Mn |
| Jun 30, 2024 | 73.60 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 | 111.33 Mn |
| Dec 31, 2021 | 80.12 Mn |
| Sep 30, 2021 | 33.21 Mn |
Sfl Consolidated 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=consolidated-net-income&ticker=SFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-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=consolidated-net-income&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();