Sfl (SFL) Operating Expenses (2009 - 2026)
Sfl's Operating Expenses came in at $135.55 million for the quarter ended Jun 30, 2026, compared with -$96.93 million a year earlier and up 4.6% from the prior quarter.
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Analysis
Sfl (SFL) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Sfl reported Operating Expenses of $93.59 million; for the year ended Dec 31, 2025, it came in at $589.19 million, down 2.3% from the prior year.
- Operating Expenses carries a three-year compound annual growth rate of 13.0% (years ended Dec 2022 to Dec 2025).
- Going back by year, Operating Expenses was $603.06 million in the year ended Dec 31, 2024 (+13.6%), $530.77 million in the year ended Dec 31, 2023 (+30.0%) and $408.15 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Operating Expenses since the quarter ended Mar 31, 2025.
- Business Quant data shows SFL's Operating Expenses at $129.63 million (quarter ended Mar 31, 2026), -$86.66 million (quarter ended Dec 31, 2025) and -$84.92 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 4.10 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 2.43 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 21.90 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 1.95 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 2.34 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 16.58 Bn |
| 10 | Sfl | 1.60 Bn | -144.53 Bn | - | 135.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.55 Mn |
| Mar 31, 2026 | 129.63 Mn |
| Dec 31, 2025 | 131.99 Mn |
| Sep 30, 2025 | 129.77 Mn |
| Jun 30, 2025 | 151.35 Mn |
| Mar 31, 2025 | 176.08 Mn |
| Dec 31, 2024 | 169.62 Mn |
| Sep 30, 2024 | 161.18 Mn |
| Jun 30, 2024 | 128.69 Mn |
| Mar 31, 2024 | 143.57 Mn |
| Dec 31, 2023 | -136.56 Mn |
| Sep 30, 2023 | -141.70 Mn |
| Jun 30, 2023 | -119.13 Mn |
| Mar 31, 2023 | 133.39 Mn |
| Dec 31, 2022 | -123.44 Mn |
| Sep 30, 2022 | -101.43 Mn |
| Jun 30, 2022 | -90.22 Mn |
| Mar 31, 2022 | -93.06 Mn |
| Dec 31, 2021 | -88.56 Mn |
| Sep 30, 2021 | -80.76 Mn |
API Access
Sfl Operating Expenses 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=operating-expenses&ticker=SFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();