Sfl (SFL) Operating Expenses (2009 - 2026)
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Analysis
Sfl (SFL) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 176.50 Bn | 168.74 Bn | - | 4.25 Bn |
| 2 | United Parcel Service | 94.38 Bn | 71.20 Bn | - | 21.11 Bn |
| 3 | Csx | 93.38 Bn | 88.60 Bn | - | 2.45 Bn |
| 4 | Canadian Pacific Kansas City | 83.29 Bn | 82.32 Bn | - | 1.95 Bn |
| 5 | Fedex | 75.61 Bn | 41.81 Bn | - | 23.46 Bn |
| 6 | Norfolk Southern | 73.28 Bn | 67.74 Bn | - | 2.38 Bn |
| 7 | Delta Air Lines | 59.96 Bn | 42.14 Bn | - | 18.73 Bn |
| 8 | United Airlines Holdings | 39.09 Bn | -18.60 Bn | - | 16.43 Bn |
| 9 | Old Dominion Freight Line | 35.40 Bn | 34.24 Bn | - | 1.14 Bn |
| 10 | Sfl | 1.45 Bn | 921.03 Mn | 116.19 Mn | 145.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 145.55 Mn |
| Jun 30, 2026 | 135.55 Mn |
| Mar 31, 2026 | 129.63 Mn |
| Dec 31, 2025 | 131.99 Mn |
| Sep 30, 2025 | 129.77 Mn |
| Jun 30, 2025 | 151.35 Mn |
| Mar 31, 2025 | 176.08 Mn |
| Dec 31, 2024 | 169.62 Mn |
| Sep 30, 2024 | 161.18 Mn |
| Jun 30, 2024 | 128.69 Mn |
| Mar 31, 2024 | 143.57 Mn |
| Dec 31, 2023 | 136.56 Mn |
| Sep 30, 2023 | 141.70 Mn |
| Jun 30, 2023 | 119.13 Mn |
| Mar 31, 2023 | 133.39 Mn |
| Dec 31, 2022 | 123.44 Mn |
| Sep 30, 2022 | 101.43 Mn |
| Jun 30, 2022 | 90.22 Mn |
| Mar 31, 2022 | 93.06 Mn |
| Dec 31, 2021 | 88.56 Mn |
API Access
Sfl 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=operating-expenses&ticker=SFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();