Sfl (SFL) Selling, General & Administrative (2009 - 2026)
Sfl's Selling, General & Administrative was $6.93 million in the quarter ended Jun 30, 2026, compared with -$2.8 million a year earlier and down 8.7% from the prior quarter.
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Analysis
Sfl (SFL) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sfl's Selling, General & Administrative was $8.84 million through Jun 30, 2026; for the year ended Dec 31, 2025, it was $18.33 million, down 10.9% from the prior year.
- Selling, General & Administrative shows a five-year compound annual growth rate of 73.1% (years ended Dec 2020 to Dec 2025).
- In earlier years, Selling, General & Administrative was $20.58 million in the year ended Dec 31, 2024 (+32.2%), $15.57 million in the year ended Dec 31, 2023 (+2.6%), $15.18 million in the year ended Dec 31, 2022 and $740,000 in the year ended Dec 31, 2021 (-37.2%).
- Quarterly Selling, General & Administrative has moved between -$4.84 million (the quarter ended Mar 31, 2022) and $7.6 million (the quarter ended Mar 31, 2026) over five years.
- Per Business Quant data, SFL's Selling, General & Administrative in the three quarters before the quarter ended Jun 30, 2026 was $7.6 million (quarter ended Mar 31, 2026), -$3.12 million (quarter ended Dec 31, 2025) and -$2.57 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | - |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | - |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | - |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | - |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | - |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | - |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | - |
| 10 | Sfl | 1.95 Bn | 1.95 Bn | - | 6.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.93 Mn |
| Mar 31, 2026 | 7.60 Mn |
| Dec 31, 2025 | -3.12 Mn |
| Sep 30, 2025 | -2.57 Mn |
| Jun 30, 2025 | -2.80 Mn |
| Mar 31, 2025 | 5.28 Mn |
| Dec 31, 2024 | -3.15 Mn |
| Sep 30, 2024 | -3.30 Mn |
| Jun 30, 2024 | -3.54 Mn |
| Mar 31, 2024 | 5.46 Mn |
| Dec 31, 2023 | -3.79 Mn |
| Sep 30, 2023 | -3.33 Mn |
| Jun 30, 2023 | -3.45 Mn |
| Mar 31, 2023 | 5.00 Mn |
| Dec 31, 2022 | -3.38 Mn |
| Sep 30, 2022 | -3.18 Mn |
| Jun 30, 2022 | -3.78 Mn |
| Mar 31, 2022 | -4.84 Mn |
| Dec 31, 2021 | -3.50 Mn |
| Sep 30, 2021 | -3.03 Mn |
API Access
Sfl Selling, General & Administrative 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=selling-general-and-administrative&ticker=SFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();