Sfl (SFL) EBT (2009 - 2026)
Sfl's EBT came in at $34.19 million for the quarter ended Jun 30, 2026, down 42.8% from $59.75 million a year earlier but up 28.0% from the prior quarter.
Sfl (SFL) EBT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Sfl reported EBT of $175.84 million, down 18.6% year-over-year; for the year ended Dec 31, 2025, it was -$24.55 million.
- Going back by year, EBT was $141.28 million in the year ended Dec 31, 2024 (+61.9%), $87.26 million in the year ended Dec 31, 2023 (-57.0%), $202.77 million in the year ended Dec 31, 2022 (+23.4%) and $164.34 million in the year ended Dec 31, 2021.
- The five-year range for quarterly EBT is -$31.08 million (the quarter ended Mar 31, 2025) to $127.51 million (the quarter ended Dec 31, 2022).
- The fastest year-over-year change in EBT over five years came in the quarter ended Mar 31, 2024 (growth of 659.4%), and the weakest in the quarter ended Mar 31, 2023 (a decline of 94.3%).
- Business Quant data shows SFL's EBT at $26.71 million (quarter ended Mar 31, 2026), $51.28 million (quarter ended Dec 31, 2025) and $63.65 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) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 2.56 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 1.32 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 982.46 Mn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 761.00 Mn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 959.00 Mn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 2.11 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.01 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 467.47 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 689.16 Mn |
| 10 | Sfl | 1.86 Bn | 1.86 Bn | - | 34.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.19 Mn |
| Mar 31, 2026 | 26.71 Mn |
| Dec 31, 2025 | 51.28 Mn |
| Sep 30, 2025 | 63.65 Mn |
| Jun 30, 2025 | 59.75 Mn |
| Mar 31, 2025 | -31.08 Mn |
| Dec 31, 2024 | 81.07 Mn |
| Sep 30, 2024 | 106.35 Mn |
| Jun 30, 2024 | 123.33 Mn |
| Mar 31, 2024 | 48.09 Mn |
| Dec 31, 2023 | 124.12 Mn |
| Sep 30, 2023 | 122.39 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 | 113.45 Mn |
| Sep 30, 2021 | 100.72 Mn |
Sfl EBT 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=ebt&ticker=SFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();