Sfl (SFL) Prepaid Assets (2009 - 2026)
Sfl (SFL) reported Prepaid Assets of $97.67 million for the quarter ended Jun 30, 2026, up 6.1% from $92.04 million a year earlier and up 8.7% 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 $85.73 million, up 29.9% from the prior year.
- Prepaid Assets has increased for six consecutive years, with a five-year compound annual growth rate of 101.2% (years ended Dec 2020 to Dec 2025).
- By year, Prepaid Assets came in at $66.01 million in the year ended Dec 31, 2024 (+125.5%), $29.27 million in the year ended Dec 31, 2023 (+12.3%), $26.05 million in the year ended Dec 31, 2022 (+306.9%) and $6.4 million in the year ended Dec 31, 2021 (+146.6%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Prepaid Assets since the quarter ended Mar 31, 2024.
- Year over year, Prepaid Assets gained in five of the last eight quarters, with growth averaging 107.6%.
- The high point for year-over-year Prepaid Assets in five years was the quarter ended Sep 30, 2025 (growth of 518.0%); the low point was the quarter ended Sep 30, 2024 (a decline of 83.9%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $89.88 million (quarter ended Mar 31, 2026), $63.89 million (quarter ended Dec 31, 2025) and $79.08 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Sfl | 1.90 Bn | 1.90 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 97.67 Mn |
| Mar 31, 2026 | 89.88 Mn |
| Dec 31, 2025 | 63.89 Mn |
| Sep 30, 2025 | 79.08 Mn |
| Jun 30, 2025 | 92.04 Mn |
| Mar 31, 2025 | 76.19 Mn |
| Dec 31, 2024 | 89.85 Mn |
| Sep 30, 2024 | 12.80 Mn |
| Jun 30, 2024 | 17.01 Mn |
| Mar 31, 2024 | 134.44 Mn |
| Dec 31, 2023 | 67.24 Mn |
| Sep 30, 2023 | 79.36 Mn |
| Jun 30, 2023 | 83.62 Mn |
| Mar 31, 2023 | 87.29 Mn |
| Dec 31, 2022 | 26.05 Mn |
| Sep 30, 2022 | 81.60 Mn |
| Jun 30, 2022 | 58.58 Mn |
| Mar 31, 2022 | 47.94 Mn |
| Dec 31, 2021 | 6.40 Mn |
| Sep 30, 2021 | 63.61 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();