Sfl (SFL) EBIT (2009 - 2026)
Sfl (SFL) recorded EBIT of $56.03 million in the quarter ended Sep 30, 2026, up 15.0% from $48.72 million a year earlier but down 14.1% from the prior quarter.
Sfl (SFL) EBIT (2009 - 2026) Analysis & Trends
On a TTM basis, Sfl's EBIT came in at $209.41 million as of Sep 30, 2026, up 23.4% year-over-year; for the year ended Dec 31, 2025, it was $136.68 million, down 55.4% from the prior year.
- Across earlier years, EBIT came in at $306.72 million in the year ended Dec 31, 2024 (+27.7%), $240.18 million in the year ended Dec 31, 2023 (-12.8%), $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 $10.66 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 has increased for three consecutive quarters, with growth averaging 32.8% over the last eight quarters.
- Peak year-over-year performance for EBIT in the last five years was growth of 428.5% in the quarter ended Mar 31, 2026, against a decline of 87.5% in the quarter ended Mar 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $65.22 million (quarter ended Jun 30, 2026), $56.35 million (quarter ended Mar 31, 2026) and $31.81 million (quarter ended Dec 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 176.50 Bn | 168.74 Bn | - | 2.94 Bn |
| 2 | United Parcel Service | 94.38 Bn | 71.20 Bn | - | 1.74 Bn |
| 3 | Csx | 93.38 Bn | 88.60 Bn | - | 1.57 Bn |
| 4 | Canadian Pacific Kansas City | 83.29 Bn | 82.32 Bn | - | 1.06 Bn |
| 5 | Fedex | 75.61 Bn | 41.81 Bn | - | 1.55 Bn |
| 6 | Norfolk Southern | 73.28 Bn | 67.74 Bn | - | 1.15 Bn |
| 7 | Delta Air Lines | 59.96 Bn | 42.14 Bn | - | 1.45 Bn |
| 8 | United Airlines Holdings | 39.09 Bn | -18.60 Bn | - | 1.45 Bn |
| 9 | Old Dominion Freight Line | 35.40 Bn | 34.24 Bn | - | 452.65 Mn |
| 10 | Sfl | 1.45 Bn | 921.03 Mn | 116.19 Mn | 56.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 56.03 Mn |
| Jun 30, 2026 | 65.22 Mn |
| Mar 31, 2026 | 56.35 Mn |
| Dec 31, 2025 | 31.81 Mn |
| Sep 30, 2025 | 48.72 Mn |
| Jun 30, 2025 | 45.48 Mn |
| Mar 31, 2025 | 10.66 Mn |
| Dec 31, 2024 | 64.88 Mn |
| Sep 30, 2024 | 94.14 Mn |
| Jun 30, 2024 | 62.23 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 |
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();