Seapeak (SEAL-PA) Restructuring Costs (2009 - 2026)
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 - 2026) 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 | 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 |
|---|---|
| Jun 30, 2026 | 19.26 Mn |
| Dec 31, 2025 | -1.20 Mn |
| Sep 30, 2025 | -1.46 Mn |
| Jun 30, 2025 | -19.26 Mn |
| Mar 31, 2023 | 100,000.00 |
| Mar 31, 2022 | -2.65 Mn |
| Dec 31, 2020 | -400,000.00 |
| Mar 31, 2020 | -2.16 Mn |
| Dec 31, 2019 | -339,000.00 |
| Jun 30, 2019 | -818,000.00 |
| Mar 31, 2019 | -2.16 Mn |
| Dec 31, 2018 | -1.85 Mn |
| Sep 30, 2018 | -449,000.00 |
| Dec 31, 2016 | -491,000.00 |
| 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 |
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();