Sfl (SFL) Receivables (2009 - 2026)
Sfl (SFL) recorded Receivables of $133.32 million in the quarter ended Jun 30, 2026, up 10.5% from $120.6 million a year earlier and up 321.2% from the prior quarter.
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Analysis
Sfl (SFL) Receivables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Sfl reported Receivables of $104.24 million, up 148.1% from the prior year.
- Annual Receivables has a five-year compound annual growth rate of 29.4% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Receivables came in at $42.02 million in the year ended Dec 31, 2024 (-6.9%), $45.13 million in the year ended Dec 31, 2023 (+49.9%), $30.11 million in the year ended Dec 31, 2022 (+52.9%) and $19.69 million in the year ended Dec 31, 2021 (-31.4%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Receivables since the quarter ended Sep 30, 2024.
- On a year-over-year basis, Receivables rose in three of the last eight quarters, with an average decline of 15.4%.
- Peak year-over-year performance for Receivables in the last five years was growth of 134.1% in the quarter ended Dec 31, 2023, against a decline of 87.2% in the quarter ended Sep 30, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $31.65 million (quarter ended Mar 31, 2026), $41.12 million (quarter ended Dec 31, 2025) and $19.85 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 2.13 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 1.46 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 10.71 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 1.59 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 1.18 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 12.67 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 4.33 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 618.02 Mn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 2.47 Bn |
| 10 | Sfl | 1.60 Bn | -144.53 Bn | - | 133.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133.32 Mn |
| Mar 31, 2026 | 23.05 Mn |
| Dec 31, 2025 | 104.24 Mn |
| Sep 30, 2025 | 13.82 Mn |
| Jun 30, 2025 | 120.60 Mn |
| Mar 31, 2025 | 30.25 Mn |
| Dec 31, 2024 | 42.02 Mn |
| Sep 30, 2024 | 154.99 Mn |
| Jun 30, 2024 | 151.26 Mn |
| Mar 31, 2024 | 124.07 Mn |
| Dec 31, 2023 | 45.13 Mn |
| Sep 30, 2023 | 71.94 Mn |
| Jun 30, 2023 | 60.79 Mn |
| Dec 31, 2022 | 30.11 Mn |
| Sep 30, 2022 | 128.14 Mn |
| Jun 30, 2022 | 35.26 Mn |
| Mar 31, 2022 | 186.95 Mn |
| Dec 31, 2021 | 13.09 Mn |
| Sep 30, 2021 | 194.86 Mn |
| Jun 30, 2021 | 24.43 Mn |
API Access
Sfl Receivables 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&ticker=SFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();