Globus Maritime (GLBS) Asset Writedowns and Impairment (2013 - 2020)
Globus Maritime's Asset Writedowns and Impairment came in at $1.89 million for the year ended Dec 31, 2024, down 57.0% from $4.4 million a year earlier.
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Analysis
Globus Maritime (GLBS) Asset Writedowns and Impairment (2013 - 2020) Analysis & Trends
Going back to the year ended Dec 31, 2009, Globus Maritime's Asset Writedowns and Impairment data covers 9 years.
- Asset Writedowns and Impairment carries a five-year compound annual growth rate of -42.4% (years ended Dec 2019 to Dec 2024).
- The figure for the year ended Dec 31, 2024 represents the lowest annual Asset Writedowns and Impairment since the year ended Dec 31, 2013.
- Per Business Quant, earlier years put Asset Writedowns and Impairment at $4.4 million in the year ended Dec 31, 2023 and $4.62 million in the year ended Dec 31, 2020 (-84.6%).
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 | Globus Maritime | 75.54 Mn | -33.38 Mn | 14.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 4.62 Mn |
| Dec 31, 2014 | 3.95 Mn |
| Dec 31, 2013 | 2.71 Mn |
API Access
Globus Maritime 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=GLBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "GLBS", "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=GLBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();