Sfl (SFL) Enterprise Value (2009 - 2026)
Sfl (SFL) reported Enterprise Value of $1.78 billion for the quarter ended Sep 30, 2026, up 118.7% from $815.51 million a year earlier and up 31.5% from the prior quarter.
Sfl (SFL) Enterprise Value (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Sfl's Enterprise Value came in at $1.38 billion; for the year ended Dec 31, 2025, it came in at $974.06 million, down 27.9% from the prior year.
- Enterprise Value has a five-year compound annual growth rate of 11.8% (years ended Dec 2020 to Dec 2025).
- By year, Enterprise Value came in at $1.35 billion in the year ended Dec 31, 2024 (-2.1%), $1.38 billion in the year ended Dec 31, 2023 (+27.6%), $1.08 billion in the year ended Dec 31, 2022 (+12.4%) and $962.36 million in the year ended Dec 31, 2021 (+72.3%).
- The figure for the quarter ended Sep 30, 2026 ranks as the highest quarterly Enterprise Value in data going back to the quarter ended Mar 31, 2009.
- Year over year, Enterprise Value gained in two of the last six quarters, with growth averaging 6.0%.
- The high point for year-over-year Enterprise Value in five years was the quarter ended Sep 30, 2026 (growth of 118.7%); the low point was the quarter ended Sep 30, 2025 (a decline of 42.7%).
- Per Business Quant data, the three quarters before the quarter ended Sep 30, 2026 came in at $1.36 billion (quarter ended Jun 30, 2026), $1.43 billion (quarter ended Mar 31, 2026) and $974.06 million (quarter ended Dec 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 176.50 Bn | 168.74 Bn | - |
| 2 | United Parcel Service | 94.38 Bn | 71.20 Bn | - |
| 3 | Csx | 93.38 Bn | 88.60 Bn | - |
| 4 | Canadian Pacific Kansas City | 83.29 Bn | 82.32 Bn | - |
| 5 | Fedex | 75.61 Bn | 41.81 Bn | - |
| 6 | Norfolk Southern | 73.28 Bn | 67.74 Bn | - |
| 7 | Delta Air Lines | 59.96 Bn | 42.14 Bn | - |
| 8 | United Airlines Holdings | 39.09 Bn | -18.60 Bn | - |
| 9 | Old Dominion Freight Line | 35.40 Bn | 34.24 Bn | - |
| 10 | Sfl | 1.45 Bn | 921.03 Mn | 116.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.78 Bn |
| Jun 30, 2026 | 1.36 Bn |
| Mar 31, 2026 | 1.43 Bn |
| Dec 31, 2025 | 974.06 Mn |
| Sep 30, 2025 | 815.51 Mn |
| Jun 30, 2025 | 1.06 Bn |
| Mar 31, 2025 | -144.52 Bn |
| Dec 31, 2024 | 1.35 Bn |
| Sep 30, 2024 | 1.42 Bn |
| Jun 30, 2024 | 1.72 Bn |
| Mar 31, 2024 | -135.66 Bn |
| Dec 31, 2023 | 1.38 Bn |
| Sep 30, 2023 | -137.02 Bn |
| Jun 30, 2023 | 1.09 Bn |
| Mar 31, 2023 | -137.25 Bn |
| Dec 31, 2022 | 1.08 Bn |
| Sep 30, 2022 | 1.07 Bn |
| Jun 30, 2022 | 1.07 Bn |
| Mar 31, 2022 | 1.24 Bn |
| Dec 31, 2021 | 962.36 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();