Everest (EG) Asset Writedowns and Impairment (2017 - 2019)
Everest's Asset Writedowns and Impairment was $5.5 million in Q4 2019, up 65.2% from $3.33 million a year earlier but down 24.9% from the prior quarter.
Everest (EG) Asset Writedowns and Impairment (2017 - 2019) Analysis & Trends
For FY2019, Asset Writedowns and Impairment at Everest came in at $20.9 million, up 157.7% from FY2018.
- Asset Writedowns and Impairment shows a three-year compound annual growth rate of -12.9% (FY2016 to FY2019).
- In earlier years, Asset Writedowns and Impairment was $8.11 million in FY2018 (+14.3%), $7.09 million in FY2017 (-77.6%) and $31.6 million in FY2016.
- Quarterly Asset Writedowns and Impairment has moved between -$888,000 (Q2 2018) and $7.31 million (Q3 2019) over five years.
- Per Business Quant data, EG's Asset Writedowns and Impairment in the three quarters before Q4 2019 was $7.31 million (Q3 2019), $5.16 million (Q2 2019) and $2.93 million (Q1 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - |
| 10 | Everest | 14.29 Bn | -2.71 Bn | 1.79 Bn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 5.50 Mn |
| Sep 30, 2019 | 7.31 Mn |
| Jun 30, 2019 | 5.16 Mn |
| Mar 31, 2019 | 2.93 Mn |
| Dec 31, 2018 | 3.33 Mn |
| Sep 30, 2018 | 3.83 Mn |
| Jun 30, 2018 | -888,000.00 |
| Mar 31, 2018 | 70,000.00 |
| Dec 31, 2017 | 1.91 Mn |
| Sep 30, 2017 | 1.49 Mn |
Everest 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=EG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "EG", "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=EG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();