Scorpio Tankers (STNG) Operating Leases (2017 - 2023)
Scorpio Tankers (STNG) posted Operating Leases of $95.17 million for the quarter ended Sep 30, 2023, up 81.5% from $52.43 million a year earlier and up 9.4% from the prior quarter.
Scorpio Tankers (STNG) Operating Leases (2017 - 2023) Analysis & Trends
As of Dec 31, 2022, Scorpio Tankers' Operating Leases came in at $443.53 million, down 14.8% from the prior year.
- Annual Operating Leases shows a five-year compound annual growth rate of -7.8% (years ended Dec 2017 to Dec 2022).
- In prior years, Scorpio Tankers' Operating Leases was $520.86 million in the year ended Dec 31, 2021 (-9.5%), $575.8 million in the year ended Dec 31, 2020 (+13.8%), $506.03 million in the year ended Dec 31, 2019 (-61.3%) and $1.31 billion in the year ended Dec 31, 2018 (+95.8%).
- Quarterly Operating Leases has run from a low of $47.36 million in the quarter ended Jun 30, 2019 to a high of $1.31 billion in the quarter ended Dec 31, 2018 over five years.
- On a year-over-year basis, Operating Leases increased in three of the last eight quarters, with growth averaging 11.2%.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Dec 31, 2018, with growth of 95.8%; the weakest was the quarter ended Sep 30, 2020, with a decline of 95.0%.
- According to Business Quant data, Operating Leases for the three prior quarters was $86.98 million (quarter ended Jun 30, 2023), $147.17 million (quarter ended Mar 31, 2023) and $443.53 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 | Scorpio Tankers | 4.31 Bn | 127.37 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 95.17 Mn |
| Jun 30, 2023 | 86.98 Mn |
| Mar 31, 2023 | 147.17 Mn |
| Dec 31, 2022 | 443.53 Mn |
| Sep 30, 2022 | 52.43 Mn |
| Jun 30, 2022 | 470.30 Mn |
| Mar 31, 2022 | 78.07 Mn |
| Dec 31, 2021 | 520.86 Mn |
| Sep 30, 2021 | 54.39 Mn |
| Jun 30, 2021 | 548.41 Mn |
| Mar 31, 2021 | 54.44 Mn |
| Dec 31, 2020 | 575.80 Mn |
| Sep 30, 2020 | 60.51 Mn |
| Jun 30, 2020 | 571.30 Mn |
| Mar 31, 2020 | 69.71 Mn |
| Dec 31, 2019 | 506.03 Mn |
| Sep 30, 2019 | 1.22 Bn |
| Jun 30, 2019 | 47.36 Mn |
| Mar 31, 2019 | 1.28 Bn |
| Dec 31, 2018 | 1.31 Bn |
Scorpio Tankers Operating 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=operating-leases&ticker=STNG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "STNG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-leases&ticker=STNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();