White Mountains Insurance (WTM) Capital Expenditures (2009 - 2017)
White Mountains Insurance's Capital Expenditures came in at -$1.1 million for Q3 2017, compared with -$700,000 a year earlier.
White Mountains Insurance (WTM) Capital Expenditures (2009 - 2017) Analysis & Trends
Over the trailing twelve months to Sep 30, 2017, White Mountains Insurance reported Capital Expenditures of $2.4 million, down 25.0% year-over-year; for FY2016, it came in at $4.3 million.
- Capital Expenditures carries a five-year compound annual growth rate of -4.8% (FY2011 to FY2016).
- Going back by year, Capital Expenditures was -$34.7 million in FY2015, $4.5 million in FY2014 (-61.5%), $11.7 million in FY2013 (+408.7%) and $2.3 million in FY2012 (-58.2%).
- The Q3 2017 figure represents the lowest quarterly Capital Expenditures since Q2 2015.
- Year-over-year, Capital Expenditures increased in two of the last four quarters, with growth averaging 0.7%.
- The fastest year-over-year change in Capital Expenditures over five years came in Q1 2015 (growth of 700.0%), and the weakest in Q1 2014 (a decline of 85.7%).
- Business Quant data shows WTM's Capital Expenditures at -$300,000 (Q2 2017), $400,000 (Q1 2017) and $3.4 million (Q4 2016) in the three quarters before Q3 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 5.65 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | - |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 138.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 72.00 Mn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | - |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | - |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 73.00 Mn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 51.00 Mn |
| 10 | White Mountains Insurance | 4.83 Bn | -5.85 Bn | 764.50 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | -1.10 Mn |
| Jun 30, 2017 | -300,000.00 |
| Mar 31, 2017 | 400,000.00 |
| Dec 31, 2016 | 3.40 Mn |
| Sep 30, 2016 | -700,000.00 |
| Jun 30, 2016 | 300,000.00 |
| Mar 31, 2016 | 1.30 Mn |
| Dec 31, 2015 | 2.30 Mn |
| Sep 30, 2015 | 17.90 Mn |
| Jun 30, 2015 | -58.90 Mn |
| Mar 31, 2015 | 4.00 Mn |
| Dec 31, 2014 | 1.20 Mn |
| Sep 30, 2014 | -600,000.00 |
| Jun 30, 2014 | 3.40 Mn |
| Mar 31, 2014 | 500,000.00 |
| Dec 31, 2013 | 1.30 Mn |
| Sep 30, 2013 | 4.20 Mn |
| Jun 30, 2013 | 2.70 Mn |
| Mar 31, 2013 | 3.50 Mn |
| Dec 31, 2012 | 800,000.00 |
White Mountains Insurance Capital Expenditures 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=capital-expenditures&ticker=WTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "WTM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=WTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();