Sfl (SFL) Revenue (2009 - 2026)
Sfl (SFL) posted Revenue of $121.19 million for the quarter ended Mar 31, 2026, up 3.4% from $117.19 million a year earlier and up 5.2% from the prior quarter.
Sfl (SFL) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Revenue at Sfl was $476.38 million, down 15.5% year-over-year; for the year ended Dec 31, 2025, it came in at $472.76 million, down 20.8% from the prior year.
- Annual Revenue shows a five-year compound annual growth rate of 0.1% (years ended Dec 2020 to Dec 2025).
- In prior years, Sfl's Revenue was $597 million in the year ended Dec 31, 2024 (+21.9%), $489.73 million in the year ended Dec 31, 2023 (-26.9%), $670.39 million in the year ended Dec 31, 2022 (+30.6%) and $513.4 million in the year ended Dec 31, 2021 (+9.0%).
- Quarterly Revenue has run from a low of $115.23 million in the quarter ended Dec 31, 2025 to a high of $229.06 million in the quarter ended Mar 31, 2024 over five years.
- On a year-over-year basis, Revenue increased in 1 of the last eight quarters, with an average decline of 21.4%.
- The strongest year-over-year quarter for Revenue in the past five years was the quarter ended Mar 31, 2022, with growth of 39.6%; the weakest was the quarter ended Mar 31, 2025, with a decline of 48.8%.
- According to Business Quant data, Revenue for the three prior quarters was $115.23 million (quarter ended Dec 31, 2025), $116.62 million (quarter ended Sep 30, 2025) and $123.34 million (quarter ended Jun 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 6.86 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 3.94 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 3.01 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 22.83 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 3.47 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 25.01 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 19.76 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.55 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 5.10 Bn |
| 10 | Sfl | 1.86 Bn | 1.86 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 121.19 Mn |
| Dec 31, 2025 | 115.23 Mn |
| Sep 30, 2025 | 116.62 Mn |
| Jun 30, 2025 | 123.34 Mn |
| Mar 31, 2025 | 117.19 Mn |
| Dec 31, 2024 | 149.82 Mn |
| Sep 30, 2024 | 170.96 Mn |
| Jun 30, 2024 | 125.82 Mn |
| Mar 31, 2024 | 229.06 Mn |
| Dec 31, 2023 | 209.57 Mn |
| Sep 30, 2023 | 204.89 Mn |
| Jun 30, 2023 | 164.56 Mn |
| Mar 31, 2023 | 173.27 Mn |
| Dec 31, 2022 | 197.82 Mn |
| Sep 30, 2022 | 166.89 Mn |
| Jun 30, 2022 | 153.30 Mn |
| Mar 31, 2022 | 152.39 Mn |
| Dec 31, 2021 | 152.06 Mn |
| Sep 30, 2021 | 135.45 Mn |
| Jun 30, 2021 | 116.76 Mn |
Sfl Revenue 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=revenue&ticker=SFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();