Sfl (SFL) Other Operating Expenses (2009 - 2026)
Sfl's Other Operating Expenses was $73.82 million in the quarter ended Jun 30, 2026, compared with $2.6 million a year earlier.
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Analysis
Sfl (SFL) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sfl's Other Operating Expenses was $80.03 million through Jun 30, 2026, up 999.4% year-over-year; for the year ended Dec 31, 2025, it came in at $8.57 million, up 25.5% from the prior year.
- Other Operating Expenses shows a five-year compound annual growth rate of -41.5% (years ended Dec 2020 to Dec 2025).
- In earlier years, Other Operating Expenses was $6.83 million in the year ended Dec 31, 2024 (+31.8%), $5.18 million in the year ended Dec 31, 2023 (-11.0%), $5.82 million in the year ended Dec 31, 2022 (-95.5%) and $128.11 million in the year ended Dec 31, 2021 (+2.2%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Other Operating Expenses in data going back to the quarter ended Mar 31, 2009.
- Compared with a year earlier, Other Operating Expenses was higher in five of the last seven quarters, with growth averaging 14.2%.
- The best year-over-year quarter for Other Operating Expenses over five years was the quarter ended Jun 30, 2025 (growth of 69.7%); the worst was the quarter ended Sep 30, 2023 (a decline of 96.0%).
- Per Business Quant data, SFL's Other Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was $1.1 million (quarter ended Mar 31, 2026), $3.16 million (quarter ended Dec 31, 2025) and $1.94 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Sfl | 1.90 Bn | 1.90 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.82 Mn |
| Mar 31, 2026 | 1.10 Mn |
| Dec 31, 2025 | 3.16 Mn |
| Sep 30, 2025 | 1.94 Mn |
| Jun 30, 2025 | 2.60 Mn |
| Mar 31, 2025 | 906,209.35 |
| Dec 31, 2024 | 2.38 Mn |
| Sep 30, 2024 | 1.39 Mn |
| Jun 30, 2024 | 1.53 Mn |
| Mar 31, 2024 | 2.30 Mn |
| Dec 31, 2023 | 2.11 Mn |
| Sep 30, 2023 | 1.67 Mn |
| Jun 30, 2023 | 2.07 Mn |
| Mar 31, 2023 | 2.12 Mn |
| Dec 31, 2022 | -106.78 Mn |
| Sep 30, 2022 | 42.08 Mn |
| Jun 30, 2022 | 34.08 Mn |
| Mar 31, 2022 | 36.44 Mn |
| Dec 31, 2021 | 35.88 Mn |
| Sep 30, 2021 | 35.09 Mn |
API Access
Sfl Other 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=other-operating-expenses&ticker=SFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();