Willis Towers Watson (WTW) Sales of Property, Plant and Equipment (2009 - 2015)
Willis Towers Watson's Sales of Property, Plant and Equipment came in at $2 million for Q4 2015, unchanged from $2 million a year earlier and unchanged from the prior quarter.
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Analysis
Willis Towers Watson (WTW) Sales of Property, Plant and Equipment (2009 - 2015) Analysis & Trends
For FY2015, Willis Towers Watson's Sales of Property, Plant and Equipment was $13 million, up 116.7% from FY2014.
- Sales of Property, Plant and Equipment carries a five-year compound annual growth rate of 5.4% (FY2010 to FY2015).
- Going back by year, Sales of Property, Plant and Equipment was $6 million in FY2014 (-50.0%), $12 million in FY2013 (+140.0%), $5 million in FY2012 (-61.5%) and $13 million in FY2011 (+30.0%).
- The five-year range for quarterly Sales of Property, Plant and Equipment is -$3 million (Q4 2012) to $5 million (Q2 2015).
- Year-over-year, Sales of Property, Plant and Equipment increased in three of the last eight quarters, with growth averaging 77.1%.
- The fastest year-over-year change in Sales of Property, Plant and Equipment over five years came in Q2 2015 (growth of 400.0%), and the weakest in Q1 2014 (a decline of 75.0%).
- Business Quant data shows WTW's Sales of Property, Plant and Equipment at $2 million (Q3 2015), $5 million (Q2 2015) and $4 million (Q1 2015) in the three quarters before Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,168.75 Bn | -248.72 Bn | 55.86 Bn | - |
| 2 | Chubb | 136.94 Bn | 89.00 Bn | 9.13 Bn | - |
| 3 | Progressive | 132.57 Bn | 108.40 Bn | 9.04 Bn | 21.00 Mn |
| 4 | Marsh & Mclennan Companies | 93.82 Bn | 86.22 Bn | - | - |
| 5 | Travelers Companies | 83.08 Bn | 59.33 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 75.37 Bn | -18.34 Bn | - | - |
| 7 | Arthur J. Gallagher | 68.71 Bn | 63.14 Bn | - | - |
| 8 | Aon | 64.39 Bn | 57.63 Bn | - | - |
| 9 | Allstate | 64.30 Bn | 25.55 Bn | 8.73 Bn | - |
| 10 | Willis Towers Watson | 30.18 Bn | 21.67 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 2.00 Mn |
| Sep 30, 2015 | 2.00 Mn |
| Jun 30, 2015 | 5.00 Mn |
| Mar 31, 2015 | 4.00 Mn |
| Dec 31, 2014 | 2.00 Mn |
| Sep 30, 2014 | 2.00 Mn |
| Jun 30, 2014 | 1.00 Mn |
| Mar 31, 2014 | 1.00 Mn |
| Dec 31, 2013 | 3.00 Mn |
| Sep 30, 2013 | 1.00 Mn |
| Jun 30, 2013 | 4.00 Mn |
| Mar 31, 2013 | 4.00 Mn |
| Dec 31, 2012 | -3.00 Mn |
| Sep 30, 2012 | 3.00 Mn |
| Jun 30, 2012 | 2.00 Mn |
| Mar 31, 2012 | 3.00 Mn |
| Dec 31, 2011 | 3.00 Mn |
| Dec 31, 2010 | 4.00 Mn |
| Sep 30, 2010 | 2.00 Mn |
| Sep 30, 2009 | 3.00 Mn |
API Access
Willis Towers Watson Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "ticker": "WTW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=sales-of-property-plant-and-equipment&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();