Star Bulk Carriers (SBLK) Asset Writedowns and Impairment (2009 - 2024)
Star Bulk Carriers (SBLK) posted Asset Writedowns and Impairment of -$1.68 million for Q4 2024, compared with -$3.75 million a year earlier.
Star Bulk Carriers (SBLK) Asset Writedowns and Impairment (2009 - 2024) Analysis & Trends
For FY2024, Star Bulk Carriers' Asset Writedowns and Impairment came in at $6.29 million, down 64.8% from FY2023.
- Annual Asset Writedowns and Impairment shows a five-year compound annual growth rate of 13.0% (FY2019 to FY2024).
- In prior years, Star Bulk Carriers' Asset Writedowns and Impairment was $17.84 million in FY2023 (+3.0%) and $17.33 million in FY2022.
- Quarterly Asset Writedowns and Impairment has run from a low of -$14.9 million in Q3 2022 to a high of $6.33 million in Q1 2023 over five years.
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 | Star Bulk Carriers | 3.49 Bn | 1.66 Bn | 299.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -1.68 Mn |
| Mar 31, 2024 | 3.95 Mn |
| Dec 31, 2023 | -3.75 Mn |
| Sep 30, 2023 | -2.14 Mn |
| Jun 30, 2023 | -2.58 Mn |
| Mar 31, 2023 | 6.33 Mn |
| Dec 31, 2022 | -2.43 Mn |
| Sep 30, 2022 | -14.90 Mn |
| Jun 30, 2016 | 339,000.00 |
| Mar 31, 2016 | 6.36 Mn |
| Jun 30, 2015 | 27.75 Mn |
| Mar 31, 2015 | 1.08 Mn |
| Jun 30, 2010 | -1.03 Mn |
| Mar 31, 2010 | 33.73 Mn |
| Dec 31, 2009 | -116,000.00 |
Star Bulk Carriers 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=SBLK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "SBLK", "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=SBLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();