Seapeak (SEAL-PA) Sales of Property, Plant and Equipment (2017 - 2026)
Seapeak's Sales of Property, Plant and Equipment was $27.41 million in Q1 2026.
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Analysis
Seapeak (SEAL-PA) Sales of Property, Plant and Equipment (2017 - 2026) Analysis & Trends
For FY2025, Sales of Property, Plant and Equipment at Seapeak came in at $12.08 million, down 56.4% from FY2024.
- In earlier years, Sales of Property, Plant and Equipment was $27.71 million in FY2024 (-65.6%) and $80.57 million in FY2023.
- The Q1 2026 figure marks the highest quarterly Sales of Property, Plant and Equipment since Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 73.00 Mn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 2.89 Mn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 15.00 Mn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 116.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 24.00 Mn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 29.47 Mn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 24.00 Mn |
| 10 | Seapeak | 2.21 Bn | 1.86 Bn | 152.57 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 27.41 Mn |
| Sep 30, 2024 | 5.52 Mn |
| Jun 30, 2024 | 6.97 Mn |
| Mar 31, 2024 | 15.22 Mn |
| Dec 31, 2023 | 2.26 Mn |
| Jun 30, 2023 | 38.71 Mn |
| Mar 31, 2023 | 39.60 Mn |
| Sep 30, 2022 | 8.79 Mn |
| Dec 31, 2018 | 28.52 Mn |
| Mar 31, 2017 | 20.58 Mn |
API Access
Seapeak Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();