Sfl (SFL) Accumulated Expenses (2009 - 2025)
Sfl's Accumulated Expenses came in at $51.89 million for the quarter ended Dec 31, 2025, up 0.9% from $51.43 million a year earlier.
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Analysis
Sfl (SFL) Accumulated Expenses (2009 - 2025) Analysis & Trends
Going back to the quarter ended Jun 30, 2009, Sfl's Accumulated Expenses data covers 47 quarters.
- Accumulated Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 19.8% (years ended Dec 2020 to Dec 2025).
- Going back by year, Accumulated Expenses was $51.43 million in the year ended Dec 31, 2024 (+31.2%), $39.19 million in the year ended Dec 31, 2023 (+44.1%), $27.2 million in the year ended Dec 31, 2022 (+37.4%) and $19.79 million in the year ended Dec 31, 2021 (-6.0%).
- The figure for the quarter ended Dec 31, 2025 represents the highest quarterly Accumulated Expenses since the quarter ended Sep 30, 2023.
- The fastest year-over-year change in Accumulated Expenses over five years came in the quarter ended Jun 30, 2023 (growth of 430.9%), and the weakest in the quarter ended Dec 31, 2021 (a decline of 6.0%).
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 |
|---|---|
| Dec 31, 2025 | 51.89 Mn |
| Dec 31, 2024 | 51.43 Mn |
| Dec 31, 2023 | 39.19 Mn |
| Sep 30, 2023 | 60.98 Mn |
| Jun 30, 2023 | 100.07 Mn |
| Dec 31, 2022 | 27.20 Mn |
| Sep 30, 2022 | 22.92 Mn |
| Jun 30, 2022 | 18.85 Mn |
| Mar 31, 2022 | 18.41 Mn |
| Dec 31, 2021 | 19.79 Mn |
| Sep 30, 2021 | 20.06 Mn |
| Jun 30, 2021 | 17.73 Mn |
| Dec 31, 2020 | 21.06 Mn |
| Sep 30, 2020 | 16.50 Mn |
| Jun 30, 2020 | 16.01 Mn |
| Dec 31, 2019 | 17.13 Mn |
| Jun 30, 2019 | 12.00 Mn |
| Mar 31, 2019 | 12.98 Mn |
| Dec 31, 2018 | 12.51 Mn |
| Sep 30, 2018 | 13.80 Mn |
API Access
Sfl Accumulated 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=accumulated-expenses&ticker=SFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();