Frontline (FRO) Asset Writedowns and Impairment (2011 - 2017)
Frontline's Asset Writedowns and Impairment was $112.8 million in Q4 2017, compared with -$7.23 million a year earlier.
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Analysis
Frontline (FRO) Asset Writedowns and Impairment (2011 - 2017) Analysis & Trends
From Q3 2011 onward, Frontline has reported Asset Writedowns and Impairment for 13 quarters.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of 28.6% (FY2012 to FY2017).
- In earlier years, Asset Writedowns and Impairment was $103.72 million in FY2013 (+223.7%).
- The Q4 2017 figure marks the highest quarterly Asset Writedowns and Impairment since Q3 2011.
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 | Frontline | 11.74 Bn | 10.50 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 112.80 Mn |
| Dec 31, 2016 | -7.23 Mn |
| Sep 30, 2016 | 319,000.00 |
| Jun 30, 2016 | 4.56 Mn |
| Mar 31, 2016 | 2.35 Mn |
| Jun 30, 2015 | 1.14 Mn |
| Dec 31, 2014 | -97.71 Mn |
| Sep 30, 2014 | 41.53 Mn |
| Sep 30, 2013 | 22.40 Mn |
| Jun 30, 2013 | 81.32 Mn |
| Dec 31, 2012 | 18.90 Mn |
| Jun 30, 2012 | 13.14 Mn |
| Sep 30, 2011 | 121.44 Mn |
API Access
Frontline 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=FRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "FRO", "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=FRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();