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 | 162.85 Bn | 157.37 Bn | - | 2.13 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 1.46 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.63 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 10.71 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 1.18 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 12.67 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 4.31 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 618.02 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 111.35 Mn |
| 10 | Sfl | 1.86 Bn | 1.86 Bn | - | 133.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133.32 Mn |
| Mar 31, 2026 | 31.65 Mn |
| Dec 31, 2025 | 41.12 Mn |
| Sep 30, 2025 | 19.85 Mn |
| Jun 30, 2025 | 120.60 Mn |
| Mar 31, 2025 | 30.25 Mn |
| Dec 31, 2024 | 66.25 Mn |
| Sep 30, 2024 | 154.99 Mn |
| Jun 30, 2024 | 151.26 Mn |
| Mar 31, 2024 | 161.18 Mn |
| Dec 31, 2023 | 70.48 Mn |
| Sep 30, 2023 | 79.85 Mn |
| Jun 30, 2023 | 79.33 Mn |
| Dec 31, 2022 | 30.11 Mn |
| Sep 30, 2022 | 65.72 Mn |
| Jun 30, 2022 | 55.77 Mn |
| Mar 31, 2022 | 56.24 Mn |
| Dec 31, 2021 | 13.09 Mn |
| Sep 30, 2021 | 52.79 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();