Mercury General (MCY) Buildings (2010 - 2017)
Mercury General (MCY) recorded Buildings of $136.83 million in Q4 2017, up 1.4% from $134.95 million a year earlier.
Analysis
Mercury General (MCY) Buildings (2010 - 2017) Analysis & Trends
Starting with Q4 2010, Mercury General's Buildings history includes 8 quarters.
- Annual Buildings has increased for seven straight years, with a five-year compound annual growth rate of 1.5% (FY2012 to FY2017).
- Across earlier years, Buildings came in at $134.95 million in FY2016 (+1.8%), $132.53 million in FY2015 (+1.0%), $131.17 million in FY2014 (+2.5%) and $127.94 million in FY2013 (+1.0%).
- The Q4 2017 figure is the highest quarterly Buildings in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 138.36 Bn | 84.95 Bn | 9.13 Bn |
| 2 | Progressive | 128.26 Bn | 104.09 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 90.52 Bn | 82.68 Bn | - |
| 4 | Travelers Companies | 82.71 Bn | 58.96 Bn | 6.23 Bn |
| 5 | Manulife Financial | 76.28 Bn | -18.60 Bn | - |
| 6 | Arthur J. Gallagher | 66.41 Bn | 60.81 Bn | - |
| 7 | Metlife | 65.10 Bn | -41.68 Bn | 7.82 Bn |
| 8 | Allstate | 63.88 Bn | 25.15 Bn | 8.73 Bn |
| 9 | Aon | 62.72 Bn | 55.94 Bn | - |
| 10 | Mercury General | 5.76 Bn | -16.11 Bn | 708.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 136.83 Mn |
| Dec 31, 2016 | 134.95 Mn |
| Dec 31, 2015 | 132.53 Mn |
| Dec 31, 2014 | 131.17 Mn |
| Dec 31, 2013 | 127.94 Mn |
| Dec 31, 2012 | 126.73 Mn |
| Dec 31, 2011 | 125.84 Mn |
| Dec 31, 2010 | 125.35 Mn |
API Access
Mercury General Buildings 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=buildings&ticker=MCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "MCY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=MCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();