Sfl (SFL) Receivables - Net (2009 - 2026)
Sfl (SFL) reported Receivables - Net of $23.79 million for the quarter ended Jun 30, 2026, up 13.3% from $21 million a year earlier and up 3.2% from the prior quarter.
Sfl (SFL) Receivables - Net (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Sfl posted Receivables - Net of $11.57 million, down 68.6% from the prior year.
- Receivables - Net has a five-year compound annual growth rate of 11.7% (years ended Dec 2020 to Dec 2025).
- By year, Receivables - Net came in at $36.82 million in the year ended Dec 31, 2024 (-10.6%), $41.19 million in the year ended Dec 31, 2023 (+105.9%), $20 million in the year ended Dec 31, 2022 (+79.7%) and $11.13 million in the year ended Dec 31, 2021 (+67.0%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Receivables - Net since the quarter ended Mar 31, 2025.
- Year over year, Receivables - Net gained in two of the last eight quarters, with an average decline of 0.3%.
- The high point for year-over-year Receivables - Net in five years was the quarter ended Sep 30, 2024 (growth of 322.4%); the low point was the quarter ended Sep 30, 2025 (a decline of 90.6%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $23.05 million (quarter ended Mar 31, 2026), $11.57 million (quarter ended Dec 31, 2025) and $13.82 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - |
| 10 | Sfl | 1.60 Bn | -144.53 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.79 Mn |
| Mar 31, 2026 | 23.05 Mn |
| Dec 31, 2025 | 11.57 Mn |
| Sep 30, 2025 | 13.82 Mn |
| Jun 30, 2025 | 21.00 Mn |
| Mar 31, 2025 | 24.57 Mn |
| Dec 31, 2024 | 36.82 Mn |
| Sep 30, 2024 | 147.19 Mn |
| Jun 30, 2024 | 125.62 Mn |
| Mar 31, 2024 | 116.18 Mn |
| Dec 31, 2023 | 41.19 Mn |
| Sep 30, 2023 | 34.85 Mn |
| Jun 30, 2023 | 34.33 Mn |
| Dec 31, 2022 | 20.00 Mn |
| Sep 30, 2022 | 20.72 Mn |
| Jun 30, 2022 | 10.77 Mn |
| Mar 31, 2022 | 11.24 Mn |
| Dec 31, 2021 | 11.13 Mn |
| Sep 30, 2021 | 7.79 Mn |
| Jun 30, 2021 | 7.60 Mn |
Sfl Receivables - Net 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=receivables-net&ticker=SFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();