First American Financial (FAF) Cost of Revenue (2009 - 2015)
First American Financial (FAF) posted Cost of Revenue of $139.13 million for Q3 2015, up 16.5% from $119.39 million a year earlier and up 13.2% from the prior quarter.
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Analysis
First American Financial (FAF) Cost of Revenue (2009 - 2015) Analysis & Trends
For the trailing twelve months through Sep 30, 2015, Cost of Revenue at First American Financial was $475.83 million, up 8.6% year-over-year; for FY2014, it came in at $450.02 million, down 15.1% from FY2013.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 5.4% (FY2009 to FY2014).
- In prior years, First American Financial's Cost of Revenue was $530.36 million in FY2013 (+33.4%), $397.72 million in FY2012 (-5.3%), $420.14 million in FY2011 (+30.9%) and $320.87 million in FY2010 (-7.5%).
- The Q3 2015 figure stands as the highest quarterly Cost of Revenue since Q2 2013.
- On a year-over-year basis, Cost of Revenue increased in four of the last eight quarters, with an average decline of 3.2%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q2 2013, with growth of 108.4%; the weakest was Q2 2014, with a decline of 35.4%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $122.87 million (Q2 2015), $101.55 million (Q1 2015) and $112.28 million (Q4 2014).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 45.95 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 6.69 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 14.57 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | - |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | 5.92 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | 11.34 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 |
|---|---|
| Sep 30, 2015 | 139.13 Mn |
| Jun 30, 2015 | 122.87 Mn |
| Mar 31, 2015 | 101.55 Mn |
| Dec 31, 2014 | 112.28 Mn |
| Sep 30, 2014 | 119.39 Mn |
| Jun 30, 2014 | 128.47 Mn |
| Mar 31, 2014 | 89.88 Mn |
| Dec 31, 2013 | 100.61 Mn |
| Sep 30, 2013 | 114.95 Mn |
| Jun 30, 2013 | 198.77 Mn |
| Mar 31, 2013 | 116.03 Mn |
| Dec 31, 2012 | 109.44 Mn |
| Sep 30, 2012 | 106.21 Mn |
| Jun 30, 2012 | 95.39 Mn |
| Mar 31, 2012 | 86.68 Mn |
| Dec 31, 2011 | 101.21 Mn |
| Sep 30, 2011 | 112.18 Mn |
| Jun 30, 2011 | 77.24 Mn |
| Mar 31, 2011 | 129.51 Mn |
| Dec 31, 2010 | 80.44 Mn |
API Access
First American Financial Cost of Revenue 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=cost-of-revenue&ticker=FAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=FAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();