First American Financial (FAF) Operating Margin (2009 - 2015)
First American Financial's Operating Margin was -1.71% in Q3 2015, down 1.44 percentage points from -0.27% a year earlier and down 3.13 percentage points from the prior quarter.
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Analysis
First American Financial (FAF) Operating Margin (2009 - 2015) Analysis & Trends
On a trailing twelve-month basis, First American Financial's Operating Margin was -0.73% through Sep 30, 2015, up 1.98 percentage points year-over-year; for FY2014, it was -6561.57%, down 904.05 percentage points from FY2013.
- Operating Margin has now declined for four consecutive years, with a five-year change of -6558.05 percentage points (FY2009 to FY2014).
- In earlier years, Operating Margin was -5657.52% in FY2013 (-238.48 pp), -5419.04% in FY2012 (-5411.45 pp), -7.59% in FY2011 (-4.80 pp) and -2.78% in FY2010 (+0.73 pp).
- Quarterly Operating Margin has moved between -16.42% (Q1 2011) and 4.11% (Q3 2012) over five years.
- Compared with a year earlier, Operating Margin was higher in five of the last eight quarters, with an average year-over-year change of +1.26 percentage points.
- The best year-over-year quarter for Operating Margin over five years was Q1 2012 (a gain of 12.78 percentage points); the worst was Q2 2013 (a drop of 12.38 percentage points).
- Per Business Quant data, FAF's Operating Margin in the three quarters before Q3 2015 was 1.42% (Q2 2015), -3.83% (Q1 2015) and 0.85% (Q4 2014).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.94 Bn | 84.52 Bn | 9.13 Bn | -19.39% |
| 2 | Progressive | 131.43 Bn | 131.43 Bn | - | - |
| 3 | Marsh & Mclennan Companies | 90.99 Bn | 83.15 Bn | - | 17.70% |
| 4 | Travelers Companies | 83.60 Bn | 83.60 Bn | - | - |
| 5 | Manulife Financial | 76.64 Bn | -18.24 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.54 Bn | 60.95 Bn | - | - |
| 7 | Aon | 64.63 Bn | 57.85 Bn | - | 21.55% |
| 8 | Allstate | 64.48 Bn | 25.75 Bn | 8.73 Bn | 22.79% |
| 9 | Metlife | 64.32 Bn | -42.46 Bn | 7.82 Bn | -53.77% |
| 10 | First American Financial | 6.61 Bn | -3.51 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2015 | -1.71% |
| Jun 30, 2015 | 1.42% |
| Mar 31, 2015 | -3.83% |
| Dec 31, 2014 | 0.85% |
| Sep 30, 2014 | -0.27% |
| Jun 30, 2014 | -4.52% |
| Mar 31, 2014 | -5.39% |
| Dec 31, 2013 | -1.29% |
| Sep 30, 2013 | -0.61% |
| Jun 30, 2013 | -10.83% |
| Mar 31, 2013 | -4.92% |
| Dec 31, 2012 | 3.00% |
| Sep 30, 2012 | 4.11% |
| Jun 30, 2012 | 1.55% |
| Mar 31, 2012 | -3.63% |
| Dec 31, 2011 | -3.52% |
| Sep 30, 2011 | -7.64% |
| Jun 30, 2011 | -3.02% |
| Mar 31, 2011 | -16.42% |
| Dec 31, 2010 | -0.57% |
API Access
First American Financial Operating Margin 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=operating-margin&ticker=FAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=FAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();