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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.46 Bn | 84.04 Bn | 9.13 Bn | -19.39% |
| 2 | Progressive | 131.41 Bn | 131.41 Bn | - | - |
| 3 | Marsh & Mclennan Companies | 90.64 Bn | 82.80 Bn | - | 17.70% |
| 4 | Travelers Companies | 83.57 Bn | 83.57 Bn | - | - |
| 5 | Manulife Financial | 76.46 Bn | -18.43 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.05 Bn | 60.45 Bn | - | - |
| 7 | Allstate | 64.48 Bn | 25.75 Bn | 8.73 Bn | 22.79% |
| 8 | Metlife | 64.32 Bn | -42.46 Bn | 7.82 Bn | -53.77% |
| 9 | Aon | 63.33 Bn | 56.54 Bn | - | 21.55% |
| 10 | First American Financial | 6.63 Bn | -3.50 Bn | - | - |
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% |
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_KEY
import 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();