Seapeak (SEAL-PA) Operating Leases (2019 - 2023)
Seapeak (SEAL-PA) posted Operating Leases of $2.42 million for Q3 2023, down 50.8% from the prior quarter.
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Analysis
Seapeak (SEAL-PA) Operating Leases (2019 - 2023) Analysis & Trends
At the end of FY2022, Seapeak's Operating Leases came in at $9.91 million.
- Annual Operating Leases shows a three-year compound annual growth rate of -21.8% (FY2019 to FY2022).
- In prior years, Seapeak's Operating Leases was $6.75 million in FY2020 (-67.5%) and $20.75 million in FY2019.
- The Q3 2023 figure stands as the lowest quarterly Operating Leases in data going back to Q1 2019.
- According to Business Quant data, Operating Leases for the three prior quarters was $4.92 million (Q2 2023), $7.45 million (Q1 2023) and $9.91 million (Q4 2022).
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 | Seapeak | 2.22 Bn | 1.86 Bn | 152.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 2.42 Mn |
| Jun 30, 2023 | 4.92 Mn |
| Mar 31, 2023 | 7.45 Mn |
| Dec 31, 2022 | 9.91 Mn |
| Mar 31, 2021 | 3.19 Mn |
| Dec 31, 2020 | 6.75 Mn |
| Sep 30, 2020 | 10.34 Mn |
| Jun 30, 2020 | 13.89 Mn |
| Mar 31, 2020 | 17.36 Mn |
| Dec 31, 2019 | 20.75 Mn |
| Sep 30, 2019 | 24.18 Mn |
| Jun 30, 2019 | 27.57 Mn |
| Mar 31, 2019 | 12.86 Mn |
API Access
Seapeak 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=SEAL-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "SEAL-PA", "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=SEAL-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();