First American Financial (FAF) Asset Writedowns and Impairment (2009 - 2020)
First American Financial's Asset Writedowns and Impairment was -$18.3 million in Q4 2020.
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Analysis
First American Financial (FAF) Asset Writedowns and Impairment (2009 - 2020) Analysis & Trends
For FY2020, Asset Writedowns and Impairment at First American Financial came in at $55 million.
- The Q4 2020 figure marks the lowest quarterly Asset Writedowns and Impairment in data going back to Q2 2009.
Peer Set
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 | First American Financial | 6.37 Bn | -4.82 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | -18.30 Mn |
| Sep 30, 2020 | 73.30 Mn |
| Dec 31, 2014 | 668,000.00 |
| Jun 30, 2014 | 515,000.00 |
| Mar 31, 2014 | 518,000.00 |
| Jun 30, 2012 | 962,000.00 |
| Mar 31, 2012 | 2.60 Mn |
| Dec 31, 2011 | 14.28 Mn |
| Sep 30, 2011 | -3.94 Mn |
| Jun 30, 2011 | 977,000.00 |
| Mar 31, 2011 | 297,000.00 |
| Dec 31, 2010 | 863,000.00 |
| Sep 30, 2010 | 1.94 Mn |
| Jun 30, 2010 | 3.82 Mn |
| Mar 31, 2010 | 1.40 Mn |
| Dec 31, 2009 | 8.76 Mn |
| Sep 30, 2009 | 3.34 Mn |
| Jun 30, 2009 | 25.61 Mn |
API Access
First American Financial 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=FAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "FAF", "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=FAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();