Seapeak (SEAL-PA) Asset Writedowns and Impairment (2011 - 2021)
Seapeak's Asset Writedowns and Impairment was $67.2 million in FY2025, down 82.6% from $387.1 million in FY2024.
Powered by 
Analysis
Seapeak (SEAL-PA) Asset Writedowns and Impairment (2011 - 2021) Analysis & Trends
From FY2012 onward, Seapeak has reported Asset Writedowns and Impairment for 9 years.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- Annual Asset Writedowns and Impairment has moved between $7.5 million (FY2023) and $387.1 million (FY2024) over five years.
- Per Business Quant data, Asset Writedowns and Impairment in earlier years was $387.1 million in FY2024, $7.5 million in FY2023 (-83.0%), $44 million in FY2022 (+46.7%) and $30 million in FY2021 (-41.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - |
| 10 | Seapeak | 2.21 Bn | 1.86 Bn | 152.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 30.00 Mn |
| Dec 31, 2020 | 6.00 Mn |
| Sep 30, 2019 | 800,000.00 |
| Dec 31, 2011 | -282,000.00 |
| Sep 30, 2011 | -454,000.00 |
| Jun 30, 2011 | 119,000.00 |
| Mar 31, 2011 | 617,000.00 |
API Access
Seapeak Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();