Global Ship Lease (GSL) Asset Writedowns and Impairment (2011 - 2020)
Global Ship Lease (GSL) posted Asset Writedowns and Impairment of $18.83 million for the year ended Dec 31, 2023, up 520.8% from $3.03 million a year earlier.
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Analysis
Global Ship Lease (GSL) Asset Writedowns and Impairment (2011 - 2020) Analysis & Trends
Since the year ended Dec 31, 2010, Global Ship Lease has reported Asset Writedowns and Impairment for 8 years.
- Annual Asset Writedowns and Impairment shows a five-year compound annual growth rate of -23.5% (years ended Dec 2018 to Dec 2023).
- The figure for the year ended Dec 31, 2023 stands as the highest annual Asset Writedowns and Impairment since the year ended Dec 31, 2018.
- Business Quant data shows GSL's Asset Writedowns and Impairment at $3.03 million in the year ended Dec 31, 2022.
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 | Global Ship Lease | 314.90 Mn | 314.90 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 912,000.00 |
| Mar 31, 2020 | 7.59 Mn |
| Dec 31, 2016 | 63.07 Mn |
| Sep 30, 2016 | 29.36 Mn |
| Sep 30, 2015 | 44.70 Mn |
| Jun 30, 2011 | 13.65 Mn |
API Access
Global Ship Lease 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=GSL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "GSL", "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=GSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();