Sfl (SFL) Tax Provisions (2023 - 2026)
Sfl's Tax Provisions was -$437,594 in the quarter ended Mar 31, 2026, compared with -$497,034 a year earlier.
Sfl (SFL) Tax Provisions (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sfl's Tax Provisions was -$1.15 million through Mar 31, 2026; for the year ended Dec 31, 2025, it came in at -$1.21 million.
- In earlier years, Tax Provisions was -$7.02 million in the year ended Dec 31, 2024 and -$2.16 million in the year ended Dec 31, 2023.
- Quarterly Tax Provisions has moved between -$2.78 million (the quarter ended Mar 31, 2024) and $87,033 (the quarter ended Sep 30, 2025) over five years.
- Per Business Quant data, SFL's Tax Provisions in the three quarters before the quarter ended Mar 31, 2026 was -$496,371 (quarter ended Dec 31, 2025), $87,033 (quarter ended Sep 30, 2025) and -$299,082 (quarter ended Jun 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 562.00 Mn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 318.00 Mn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 242.18 Mn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 157.00 Mn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 225.00 Mn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 510.00 Mn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 405.00 Mn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 116.87 Mn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | -64.16 Mn |
| 10 | Sfl | 1.89 Bn | 1.89 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -437,593.63 |
| Dec 31, 2025 | -496,371.11 |
| Sep 30, 2025 | 87,033.30 |
| Jun 30, 2025 | -299,082.31 |
| Mar 31, 2025 | -497,034.49 |
| Dec 31, 2024 | -2.04 Mn |
| Sep 30, 2024 | -2.05 Mn |
| Jun 30, 2024 | -1.10 Mn |
| Mar 31, 2024 | -2.78 Mn |
| Dec 31, 2023 | -1.03 Mn |
| Sep 30, 2023 | -2.29 Mn |
Sfl Tax Provisions 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=tax-provisions&ticker=SFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();