Sfl (SFL) Capital Leases (2017 - 2023)
Sfl's Capital Leases was $222.66 million in the quarter ended Sep 30, 2023, down 48.6% from $432.96 million a year earlier and down 43.1% from the prior quarter.
Sfl (SFL) Capital Leases (2017 - 2023) Analysis & Trends
As of Dec 31, 2022, Capital Leases at Sfl came in at $419.34 million, down 11.3% from the prior year.
- Capital Leases has now declined for four consecutive years, though with a five-year compound annual growth rate of 12.7% (years ended Dec 2017 to Dec 2022).
- In earlier years, Capital Leases was $473 million in the year ended Dec 31, 2021 (-9.8%), $524.2 million in the year ended Dec 31, 2020 (-49.5%), $1.04 billion in the year ended Dec 31, 2019 (-6.0%) and $1.1 billion in the year ended Dec 31, 2018 (+378.9%).
- The figure for the quarter ended Sep 30, 2023 marks the lowest quarterly Capital Leases since the quarter ended Mar 31, 2020.
- Compared with a year earlier, Capital Leases has declined for ten straight quarters, with an average decline of 15.7% over the last eight quarters.
- The best year-over-year quarter for Capital Leases over five years was the quarter ended Mar 31, 2021 (growth of 797.6%); the worst was the quarter ended Mar 31, 2020 (a decline of 94.8%).
- Per Business Quant data, SFL's Capital Leases in the three quarters before the quarter ended Sep 30, 2023 was $391.55 million (quarter ended Jun 30, 2023), $405.49 million (quarter ended Mar 31, 2023) and $419.34 million (quarter ended Dec 31, 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn |
| 10 | Sfl | 1.86 Bn | 1.86 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 222.66 Mn |
| Jun 30, 2023 | 391.55 Mn |
| Mar 31, 2023 | 405.49 Mn |
| Dec 31, 2022 | 419.34 Mn |
| Sep 30, 2022 | 432.96 Mn |
| Jun 30, 2022 | 446.43 Mn |
| Mar 31, 2022 | 459.77 Mn |
| Dec 31, 2021 | 473.00 Mn |
| Sep 30, 2021 | 486.00 Mn |
| Jun 30, 2021 | 498.82 Mn |
| Mar 31, 2021 | 511.57 Mn |
| Dec 31, 2020 | 524.20 Mn |
| Sep 30, 2020 | 984.72 Mn |
| Jun 30, 2020 | 1.00 Bn |
| Mar 31, 2020 | 56.99 Mn |
| Dec 31, 2019 | 1.04 Bn |
| Sep 30, 2019 | 50.61 Mn |
| Jun 30, 2019 | 43.81 Mn |
| Mar 31, 2019 | 1.09 Bn |
| Dec 31, 2018 | 1.10 Bn |
Sfl Capital Leases 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=capital-leases&ticker=SFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-leases", "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=capital-leases&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();