Sfl (SFL) Prepaid Assets (2009 - 2026)
Sfl (SFL) reported Prepaid Assets of $126.04 million for the quarter ended Sep 30, 2026, up 35.7% from $92.89 million a year earlier and up 3.8% from the prior quarter.
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Analysis
Sfl (SFL) Prepaid Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Sfl posted Prepaid Assets of $18.7 million, up 9.6% from the prior year.
- Prepaid Assets has a five-year compound annual growth rate of 48.4% (years ended Dec 2020 to Dec 2025).
- By year, Prepaid Assets came in at $17.06 million in the year ended Dec 31, 2024 (+3.4%), $16.49 million in the year ended Dec 31, 2023 (-3.7%), $17.13 million in the year ended Dec 31, 2022 (+167.5%) and $6.4 million in the year ended Dec 31, 2021 (+146.6%).
- The figure for the quarter ended Sep 30, 2026 ranks as the highest quarterly Prepaid Assets since the quarter ended Sep 30, 2024.
- Year over year, Prepaid Assets gained in four of the last eight quarters, with an average decline of 5.4%.
- The high point for year-over-year Prepaid Assets in five years was the quarter ended Dec 31, 2022 (growth of 167.5%); the low point was the quarter ended Sep 30, 2025 (a decline of 41.9%).
- Per Business Quant data, the three quarters before the quarter ended Sep 30, 2026 came in at $121.45 million (quarter ended Jun 30, 2026), $89.88 million (quarter ended Mar 31, 2026) and $18.7 million (quarter ended Dec 31, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 176.50 Bn | 168.74 Bn | - |
| 2 | United Parcel Service | 94.38 Bn | 71.20 Bn | - |
| 3 | Csx | 93.38 Bn | 88.60 Bn | - |
| 4 | Canadian Pacific Kansas City | 83.29 Bn | 82.32 Bn | - |
| 5 | Fedex | 75.61 Bn | 41.81 Bn | - |
| 6 | Norfolk Southern | 73.28 Bn | 67.74 Bn | - |
| 7 | Delta Air Lines | 59.96 Bn | 42.14 Bn | - |
| 8 | United Airlines Holdings | 39.09 Bn | -18.60 Bn | - |
| 9 | Old Dominion Freight Line | 35.40 Bn | 34.24 Bn | - |
| 10 | Sfl | 1.45 Bn | 921.03 Mn | 116.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 126.04 Mn |
| Jun 30, 2026 | 97.67 Mn |
| Mar 31, 2026 | 89.88 Mn |
| Dec 31, 2025 | 18.70 Mn |
| Sep 30, 2025 | 92.89 Mn |
| Jun 30, 2025 | 113.04 Mn |
| Mar 31, 2025 | 110.83 Mn |
| Dec 31, 2024 | 17.06 Mn |
| Sep 30, 2024 | 159.99 Mn |
| Jun 30, 2024 | 142.63 Mn |
| Mar 31, 2024 | 134.44 Mn |
| Dec 31, 2023 | 16.49 Mn |
| Sep 30, 2023 | 79.36 Mn |
| Jun 30, 2023 | 9.79 Mn |
| Mar 31, 2023 | 87.29 Mn |
| Dec 31, 2022 | 17.13 Mn |
| Sep 30, 2022 | 81.60 Mn |
| Jun 30, 2022 | 8.27 Mn |
| Mar 31, 2022 | 47.94 Mn |
| Dec 31, 2021 | 6.40 Mn |
API Access
Sfl Prepaid Assets 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=prepaid-assets&ticker=SFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();