Safe Bulkers (SB) Asset Writedowns and Impairment (2015 - 2021)
Safe Bulkers (SB) recorded Asset Writedowns and Impairment of $1.42 million in the quarter ended Mar 31, 2021.
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Analysis
Safe Bulkers (SB) Asset Writedowns and Impairment (2015 - 2021) Analysis & Trends
On a TTM basis, Safe Bulkers' Asset Writedowns and Impairment came in at $1.01 million as of Mar 31, 2021; for the year ended Dec 31, 2019, it came in at -$414,000.
- Across earlier years, Asset Writedowns and Impairment came in at $91.29 million in the year ended Dec 31, 2017 (+431.9%), $17.16 million in the year ended Dec 31, 2016 (-24.8%) and $22.83 million in the year ended Dec 31, 2015.
- The figure for the quarter ended Mar 31, 2021 is the highest quarterly Asset Writedowns and Impairment since the quarter ended Sep 30, 2016.
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 | Safe Bulkers | 900.91 Mn | 399.81 Mn | 86.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2021 | 1.42 Mn |
| Dec 31, 2019 | -66,000.00 |
| Sep 30, 2019 | -348,000.00 |
| Sep 30, 2016 | 17.16 Mn |
| Dec 31, 2015 | -1.43 Mn |
| Sep 30, 2015 | -956,000.00 |
API Access
Safe Bulkers 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=SB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "SB", "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=SB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();