Brown & Brown (BRO) Land & Improvements (2010 - 2014)
Brown & Brown's Land & Improvements was $3.74 million in fiscal Q4 2014 (quarter ended Dec 31, 2014), down 2.0% from $3.82 million a year earlier.
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Analysis
Brown & Brown (BRO) Land & Improvements (2010 - 2014) Analysis & Trends
From fiscal Q4 2010 onward, Brown & Brown has reported Land & Improvements for 5 quarters.
- Land & Improvements shows a four-year compound annual growth rate of 70.9% (FY2010 to FY2014).
- In earlier fiscal years, Land & Improvements was $3.82 million in FY2013 (-2.2%), $3.9 million in FY2012 (+790.9%), $438,000 in FY2011 (unchanged) and $438,000 in FY2010.
- The fiscal Q4 2014 figure marks the lowest quarterly Land & Improvements since fiscal Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | - |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | - |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | - |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | - |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | - |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | - |
| 10 | Brown & Brown | 20.10 Bn | 15.94 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | 3.74 Mn |
| Dec 31, 2013 | 3.82 Mn |
| Dec 31, 2012 | 3.90 Mn |
| Dec 31, 2011 | 438,000.00 |
| Dec 31, 2010 | 438,000.00 |
API Access
Brown & Brown Land & Improvements 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=land-and-improvements&ticker=BRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "BRO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=BRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();