Sfl (SFL) Other Accumulated Expenses (2009 - 2026)
Sfl (SFL) reported Other Accumulated Expenses of $91.1 million for the quarter ended Sep 30, 2026, up 2.3% from $89.07 million a year earlier and up 6.1% from the prior quarter.
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Analysis
Sfl (SFL) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Sfl posted Other Accumulated Expenses of $104.38 million, up 173.3% from the prior year.
- Other Accumulated Expenses has increased for eight consecutive years, with a five-year compound annual growth rate of 45.4% (years ended Dec 2020 to Dec 2025).
- By year, Other Accumulated Expenses came in at $38.19 million in the year ended Dec 31, 2024 (+8.7%), $35.12 million in the year ended Dec 31, 2023 (+26.3%), $27.8 million in the year ended Dec 31, 2022 (+22.2%) and $22.75 million in the year ended Dec 31, 2021 (+41.4%).
- Five-year quarterly Other Accumulated Expenses spans a low of $22.75 million in the quarter ended Dec 31, 2021 and a high of $150.89 million in the quarter ended Jun 30, 2024.
- Year over year, Other Accumulated Expenses gained in three of the last eight quarters, with growth averaging 9.4%.
- The high point for year-over-year Other Accumulated Expenses in five years was the quarter ended Jun 30, 2024 (growth of 283.2%); the low point was the quarter ended Sep 30, 2025 (a decline of 30.5%).
- Per Business Quant data, the three quarters before the quarter ended Sep 30, 2026 came in at $85.9 million (quarter ended Jun 30, 2026), $79.85 million (quarter ended Mar 31, 2026) and $104.38 million (quarter ended Dec 31, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 176.50 Bn | 168.74 Bn | - |
| 2 | United Parcel Service | 94.38 Bn | 71.20 Bn | - |
| 3 | Csx | 93.38 Bn | 88.60 Bn | - |
| 4 | Canadian Pacific Kansas City | 83.29 Bn | 82.32 Bn | - |
| 5 | Fedex | 75.61 Bn | 41.81 Bn | - |
| 6 | Norfolk Southern | 73.28 Bn | 67.74 Bn | - |
| 7 | Delta Air Lines | 59.96 Bn | 42.14 Bn | - |
| 8 | United Airlines Holdings | 39.09 Bn | -18.60 Bn | - |
| 9 | Old Dominion Freight Line | 35.40 Bn | 34.24 Bn | - |
| 10 | Sfl | 1.45 Bn | 921.03 Mn | 116.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 91.10 Mn |
| Jun 30, 2026 | 85.90 Mn |
| Mar 31, 2026 | 79.85 Mn |
| Dec 31, 2025 | 104.38 Mn |
| Sep 30, 2025 | 89.07 Mn |
| Jun 30, 2025 | 117.31 Mn |
| Mar 31, 2025 | 98.61 Mn |
| Dec 31, 2024 | 38.19 Mn |
| Sep 30, 2024 | 128.20 Mn |
| Jun 30, 2024 | 150.89 Mn |
| Mar 31, 2024 | 109.79 Mn |
| Dec 31, 2023 | 35.12 Mn |
| Sep 30, 2023 | 116.25 Mn |
| Jun 30, 2023 | 39.37 Mn |
| Mar 31, 2023 | 81.11 Mn |
| Dec 31, 2022 | 27.80 Mn |
| Sep 30, 2022 | 79.20 Mn |
| Jun 30, 2022 | 24.23 Mn |
| Mar 31, 2022 | 43.02 Mn |
| Dec 31, 2021 | 22.75 Mn |
API Access
Sfl Other 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=other-accumulated-expenses&ticker=SFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();