Sfl (SFL) Enterprise Value (2009 - 2026)
Sfl (SFL) reported Enterprise Value of $1.36 billion for the quarter ended Jun 30, 2026, up 22.2% from $1.11 billion a year earlier but down 7.5% from the prior quarter.
Sfl (SFL) Enterprise Value (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sfl's Enterprise Value came in at $991.73 million, up 22.9% year-over-year; for the year ended Dec 31, 2025, it came in at $1.03 billion, down 26.3% from the prior year.
- Enterprise Value has a five-year compound annual growth rate of 11.9% (years ended Dec 2020 to Dec 2025).
- By year, Enterprise Value came in at $1.4 billion in the year ended Dec 31, 2024 (-3.0%), $1.44 billion in the year ended Dec 31, 2023 (+32.5%), $1.09 billion in the year ended Dec 31, 2022 (+10.7%) and $983.57 million in the year ended Dec 31, 2021 (+67.5%).
- Five-year quarterly Enterprise Value spans a low of -$137.25 billion in the quarter ended Mar 31, 2023 and a high of $1.79 billion in the quarter ended Jun 30, 2024.
- Year over year, Enterprise Value gained in two of the last six quarters, with an average decline of 7.9%.
- The high point for year-over-year Enterprise Value in five years was the quarter ended Jun 30, 2022 (growth of 80.1%); the low point was the quarter ended Sep 30, 2025 (a decline of 38.2%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $1.47 billion (quarter ended Mar 31, 2026), $1.03 billion (quarter ended Dec 31, 2025) and $915.11 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn |
| 10 | Sfl | 1.86 Bn | 1.86 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.36 Bn |
| Mar 31, 2026 | 1.47 Bn |
| Dec 31, 2025 | 1.03 Bn |
| Sep 30, 2025 | 915.11 Mn |
| Jun 30, 2025 | 1.11 Bn |
| Mar 31, 2025 | 1.09 Bn |
| Dec 31, 2024 | 1.40 Bn |
| Sep 30, 2024 | 1.48 Bn |
| Jun 30, 2024 | 1.79 Bn |
| Mar 31, 2024 | -135.66 Bn |
| Dec 31, 2023 | 1.44 Bn |
| Sep 30, 2023 | -137.02 Bn |
| Jun 30, 2023 | 1.09 Bn |
| Mar 31, 2023 | -137.25 Bn |
| Dec 31, 2022 | 1.09 Bn |
| Sep 30, 2022 | 1.08 Bn |
| Jun 30, 2022 | 1.09 Bn |
| Mar 31, 2022 | 1.26 Bn |
| Dec 31, 2021 | 983.57 Mn |
| Sep 30, 2021 | 820.35 Mn |
Sfl Enterprise Value 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=enterprise-value&ticker=SFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();