Sfl (SFL) EBITDA (2009 - 2026)
Sfl (SFL) recorded EBITDA of $76.97 million in the quarter ended Jun 30, 2026, up 11.0% from $69.31 million a year earlier but down 4.4% from the prior quarter.
Powered by 
Analysis
Sfl (SFL) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Sfl's EBITDA came in at $289.76 million as of Jun 30, 2026, down 5.2% year-over-year; for the year ended Dec 31, 2025, it came in at $245.15 million, down 32.8% from the prior year.
- Across earlier years, EBITDA came in at $364.65 million in the year ended Dec 31, 2024 (+21.6%), $299.81 million in the year ended Dec 31, 2023 (-37.7%), $481 million in the year ended Dec 31, 2022 (+19.9%) and $401.25 million in the year ended Dec 31, 2021.
- Quarterly EBITDA has ranged from $46.06 million in the quarter ended Mar 31, 2025 to $148.44 million in the quarter ended Dec 31, 2021 over the past five years.
- On a year-over-year basis, EBITDA rose in two of the last eight quarters, with an average decline of 13.6%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 74.9% in the quarter ended Mar 31, 2026, against a decline of 68.2% in the quarter ended Mar 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $80.55 million (quarter ended Mar 31, 2026), $59.55 million (quarter ended Dec 31, 2025) and $72.69 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.32 Bn | 165.84 Bn | - | 3.40 Bn |
| 2 | Csx | 89.15 Bn | 85.36 Bn | - | 1.92 Bn |
| 3 | United Parcel Service | 84.25 Bn | 61.14 Bn | - | 1.91 Bn |
| 4 | Canadian Pacific Kansas City | 77.76 Bn | 76.78 Bn | - | 1.44 Bn |
| 5 | Norfolk Southern | 73.35 Bn | 67.99 Bn | - | 1.48 Bn |
| 6 | Fedex | 71.12 Bn | 37.07 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 50.25 Bn | 32.44 Bn | - | 2.13 Bn |
| 8 | Old Dominion Freight Line | 39.13 Bn | 38.39 Bn | - | 557.01 Mn |
| 9 | United Airlines Holdings | 31.57 Bn | -24.80 Bn | - | 1.86 Bn |
| 10 | Sfl | 1.63 Bn | -144.50 Bn | - | 90.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90.36 Mn |
| Mar 31, 2026 | 82.94 Mn |
| Dec 31, 2025 | 89.85 Mn |
| Sep 30, 2025 | 107.79 Mn |
| Jun 30, 2025 | 64.92 Mn |
| Mar 31, 2025 | 31.91 Mn |
| Dec 31, 2024 | 129.32 Mn |
| Sep 30, 2024 | 157.90 Mn |
| Jun 30, 2024 | 122.03 Mn |
| Mar 31, 2024 | 144.67 Mn |
| Dec 31, 2023 | 133.14 Mn |
| Sep 30, 2023 | 124.68 Mn |
| Jun 30, 2023 | 106.22 Mn |
| Mar 31, 2023 | 104.24 Mn |
| Dec 31, 2022 | 127.54 Mn |
| Sep 30, 2022 | 115.79 Mn |
| Jun 30, 2022 | 125.94 Mn |
| Mar 31, 2022 | 108.04 Mn |
| Dec 31, 2021 | 149.92 Mn |
| Sep 30, 2021 | 93.37 Mn |
API Access
Sfl EBITDA 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=ebitda&ticker=SFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();