Seapeak (SEAL-PA) Restructuring Costs (2009 - 2025)
Seapeak (SEAL-PA) posted Restructuring Costs of $19.26 million for Q2 2026, compared with -$19.26 million a year earlier.
Powered by 
Analysis
Seapeak (SEAL-PA) Restructuring Costs (2009 - 2025) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Restructuring Costs at Seapeak was -$2.66 million; for FY2025, it was -$21.93 million.
- In prior years, Seapeak's Restructuring Costs was -$2.65 million in FY2022 and -$3.22 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Restructuring Costs in data going back to Q1 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 183.69 Bn | 175.94 Bn | - |
| 2 | United Parcel Service | 97.20 Bn | 74.10 Bn | - |
| 3 | Csx | 96.55 Bn | 91.78 Bn | - |
| 4 | Canadian Pacific Kansas City | 83.75 Bn | 82.78 Bn | - |
| 5 | Fedex | 77.97 Bn | 44.17 Bn | - |
| 6 | Norfolk Southern | 77.53 Bn | 72.00 Bn | - |
| 7 | Delta Air Lines | 58.54 Bn | 40.73 Bn | - |
| 8 | United Airlines Holdings | 37.69 Bn | -20.00 Bn | - |
| 9 | Old Dominion Freight Line | 37.24 Bn | 36.50 Bn | - |
| 10 | Seapeak | 2.19 Bn | 1.80 Bn | 152.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 42.65 Mn |
| Sep 30, 2025 | -1.46 Mn |
| Jun 30, 2025 | -19.26 Mn |
| Dec 31, 2023 | -100,000.00 |
| Mar 31, 2023 | 100,000.00 |
| Dec 31, 2022 | 5.30 Mn |
| Mar 31, 2022 | -2.65 Mn |
| Dec 31, 2021 | 3.22 Mn |
| Mar 31, 2020 | -2.16 Mn |
| Dec 31, 2019 | 339,000.00 |
| Jun 30, 2019 | 818,000.00 |
| Mar 31, 2019 | -2.16 Mn |
| Sep 30, 2018 | 449,000.00 |
| Dec 31, 2015 | 491,000.00 |
| Sep 30, 2015 | 3.51 Mn |
| Dec 31, 2014 | 242,000.00 |
| Sep 30, 2014 | -2.23 Mn |
| Jun 30, 2010 | 126,000.00 |
| Mar 31, 2010 | 49,000.00 |
| Dec 31, 2009 | 197,000.00 |
API Access
Seapeak Restructuring Costs 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=restructuring-costs&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();