Markel (MKL) Land & Improvements (2010 - 2018)
Markel's Land & Improvements was $93.55 million in Q4 2018, up 4.6% from $89.44 million a year earlier.
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Analysis
Markel (MKL) Land & Improvements (2010 - 2018) Analysis & Trends
From Q4 2010 onward, Markel has reported Land & Improvements for 9 quarters.
- Land & Improvements has now increased for seven consecutive years, with a five-year compound annual growth rate of 10.2% (FY2013 to FY2018).
- In earlier years, Land & Improvements was $89.44 million in FY2017 (+20.8%), $74.04 million in FY2016 (+3.4%), $71.59 million in FY2015 (+1.4%) and $70.6 million in FY2014 (+22.4%).
- The Q4 2018 figure marks the highest quarterly Land & Improvements in data going back to Q4 2010.
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 | Markel | 21.24 Bn | -44.97 Bn | 2.83 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 93.55 Mn |
| Dec 31, 2017 | 89.44 Mn |
| Dec 31, 2016 | 74.04 Mn |
| Dec 31, 2015 | 71.59 Mn |
| Dec 31, 2014 | 70.60 Mn |
| Dec 31, 2013 | 57.67 Mn |
| Dec 31, 2012 | 51.51 Mn |
| Dec 31, 2011 | 29.48 Mn |
| Dec 31, 2010 | 35.11 Mn |
API Access
Markel 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=MKL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "MKL", "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=MKL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();