Sfl (SFL) Other Accumulated Expenses (2009 - 2026)
Sfl (SFL) reported Other Accumulated Expenses of $1.38 million for the quarter ended Jun 30, 2026, down 23.9% from $1.81 million a year earlier and down 97.5% 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 $1.3 million, up 0.5% from the prior year.
- Other Accumulated Expenses has a five-year compound annual growth rate of -39.5% (years ended Dec 2020 to Dec 2025).
- By year, Other Accumulated Expenses came in at $1.3 million in the year ended Dec 31, 2024 (-55.2%), $2.89 million in the year ended Dec 31, 2023 (-89.6%), $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%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Other Accumulated Expenses since the quarter ended Mar 31, 2025.
- Year over year, Other Accumulated Expenses gained in two of the last six quarters, with an average decline of 19.0%.
- The high point for year-over-year Other Accumulated Expenses in five years was the quarter ended Jun 30, 2023 (growth of 300.9%); the low point was the quarter ended Jun 30, 2024 (a decline of 99.5%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $55.47 million (quarter ended Mar 31, 2026), $67.68 million (quarter ended Dec 31, 2025) and $58.29 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - |
| 10 | Sfl | 1.94 Bn | 1.94 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.38 Mn |
| Mar 31, 2026 | 55.47 Mn |
| Dec 31, 2025 | 67.68 Mn |
| Sep 30, 2025 | 58.29 Mn |
| Jun 30, 2025 | 1.81 Mn |
| Mar 31, 2025 | 557,000.00 |
| Dec 31, 2024 | 89.93 Mn |
| Sep 30, 2024 | 3.17 Mn |
| Jun 30, 2024 | 860,000.00 |
| Mar 31, 2024 | 109.79 Mn |
| Dec 31, 2023 | 74.24 Mn |
| Sep 30, 2023 | 116.25 Mn |
| Jun 30, 2023 | 184.71 Mn |
| Mar 31, 2023 | 81.11 Mn |
| Dec 31, 2022 | 1.38 Mn |
| Sep 30, 2022 | 79.20 Mn |
| Jun 30, 2022 | 46.07 Mn |
| Mar 31, 2022 | 43.02 Mn |
| Dec 31, 2021 | 1.07 Mn |
| Sep 30, 2021 | 47.75 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();