Sfl (SFL) EBIT (2009 - 2026)
Sfl (SFL) recorded EBIT of $34.19 million in the quarter ended Jun 30, 2026, up 17.4% from $29.13 million a year earlier but down 12.6% from the prior quarter.
Sfl (SFL) EBIT (2009 - 2026) Analysis & Trends
On a TTM basis, Sfl's EBIT came in at $126.11 million as of Jun 30, 2026, down 10.7% year-over-year; for the year ended Dec 31, 2025, it was $88.15 million, down 56.5% from the prior year.
- Across earlier years, EBIT came in at $202.46 million in the year ended Dec 31, 2024 (+29.5%), $156.36 million in the year ended Dec 31, 2023 (-43.2%), $275.47 million in the year ended Dec 31, 2022 (+13.4%) and $242.84 million in the year ended Dec 31, 2021.
- Quarterly EBIT has ranged from $6.69 million in the quarter ended Mar 31, 2025 to $102.85 million in the quarter ended Dec 31, 2021 over the past five years.
- On a year-over-year basis, EBIT rose in two of the last eight quarters, with growth averaging 29.4%.
- Peak year-over-year performance for EBIT in the last five years was growth of 485.0% in the quarter ended Mar 31, 2026, against a decline of 92.2% in the quarter ended Mar 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $39.14 million (quarter ended Mar 31, 2026), $20.89 million (quarter ended Dec 31, 2025) and $31.88 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 2.76 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 1.51 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.06 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 930.00 Mn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 1.12 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 1.55 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 1.86 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 465.30 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 668.82 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 | 39.14 Mn |
| Dec 31, 2025 | 20.89 Mn |
| Sep 30, 2025 | 31.88 Mn |
| Jun 30, 2025 | 29.13 Mn |
| Mar 31, 2025 | 6.69 Mn |
| Dec 31, 2024 | 42.43 Mn |
| Sep 30, 2024 | 63.03 Mn |
| Jun 30, 2024 | 41.01 Mn |
| Mar 31, 2024 | 85.47 Mn |
| Dec 31, 2023 | 73.01 Mn |
| Sep 30, 2023 | 65.38 Mn |
| Jun 30, 2023 | 51.85 Mn |
| Mar 31, 2023 | 49.94 Mn |
| Dec 31, 2022 | 74.38 Mn |
| Sep 30, 2022 | 65.46 Mn |
| Jun 30, 2022 | 76.31 Mn |
| Mar 31, 2022 | 59.33 Mn |
| Dec 31, 2021 | 102.85 Mn |
| Sep 30, 2021 | 54.75 Mn |
Sfl EBIT 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=ebit&ticker=SFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();