Seapeak (SEAL-PA) Gains from Sales and Divestitures (2010 - 2026)
Seapeak (SEAL-PA) posted Gains from Sales and Divestitures of -$3.01 million for Q1 2026.
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Analysis
Seapeak (SEAL-PA) Gains from Sales and Divestitures (2010 - 2026) Analysis & Trends
For FY2025, Seapeak's Gains from Sales and Divestitures came in at -$71.01 million.
- In prior years, Seapeak's Gains from Sales and Divestitures was -$382.77 million in FY2024, $27.99 million in FY2023 and -$54.4 million in FY2022.
- The Q1 2026 figure stands as the highest quarterly Gains from Sales and Divestitures since Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - |
| 10 | Seapeak | 2.20 Bn | 1.81 Bn | 152.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -3.01 Mn |
| Dec 31, 2025 | -132.80 Mn |
| Dec 31, 2024 | -378.43 Mn |
| Sep 30, 2024 | -3.37 Mn |
| Jun 30, 2024 | -267,000.00 |
| Mar 31, 2024 | -704,000.00 |
| Dec 31, 2023 | 64.00 Mn |
| Jun 30, 2023 | -537,000.00 |
| Mar 31, 2023 | -35.47 Mn |
| Dec 31, 2022 | -98.20 Mn |
| Jun 30, 2022 | 194,000.00 |
| Mar 31, 2022 | 44.00 Mn |
| Dec 31, 2020 | -6.00 Mn |
| Mar 31, 2020 | 45.00 Mn |
| Dec 31, 2019 | 14.35 Mn |
| Sep 30, 2019 | -785,000.00 |
| Dec 31, 2018 | -790,000.00 |
| Sep 30, 2018 | -2.20 Mn |
| Jun 30, 2018 | -33.00 Mn |
| Mar 31, 2018 | 18.66 Mn |
API Access
Seapeak Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();