2011 US Construction
Financial Strength Rankings using Artificial Intelligence
Top rated | 3 of 14 |
Best rating | 171 % |
Worst rating | 8.42 % |
New companies | 10 |
Negative Economic Capital Ratio |
Financial Strength Rankings using Artificial Intelligence
Top rated | 3 of 14 |
Best rating | 171 % |
Worst rating | 8.42 % |
New companies | 10 |
Negative Economic Capital Ratio |
Quanta Services INC climbed -1 positions from 1 to 2 due to its excellent Revenues.Foster Wheeler Ag lost 5 positions from 4 to 9 due to its bad Liabilities, Current.NVR INC entered the 2011 ranking at rank 1, making it the best newcomer.The biggest company by assets, Lennar Corp NEW, is only ranked at place 11 whereas the smallest company, Granite Construction INC, is financially stronger at rank 4.
Revenues | 69.1 B |
Assets | 60.5 B |
Expenses | 69.7 B |
Stockholders Equity | 28.6 B |
Unprofitable Companies |
Rank | Company | Seal | Rating Value | Trend | ||
---|---|---|---|---|---|---|
1 | NVR INC | 171.19% | 0.0 | |||
2 | Quanta Services INC | 157.19% | -1.0 | |||
3 | Jacobs Engineering Group Inc | 147.26% | 0.0 | |||
4 | Granite Construction INC | 117.81% | 0.0 | |||
5 | Fluor Corp | 99.08% | -3.0 | |||
6 | Toll Brothers Inc | 76.12% | 0.0 | |||
7 | KBR INC. | 74.40% | -4.0 | |||
8 | Chicago Bridge Iron Co N V | 67.74% | 0.0 | |||
9 | Foster Wheeler Ag | 61.68% | -5.0 | |||
10 | Emcor Group Inc | 55.39% | 0.0 | |||
11 | Lennar Corp NEW | 55.18% | 0.0 | |||
12 | M D C Holdings INC | 49.99% | 0.0 | |||
13 | Ryland Group INC | 36.63% | 0.0 | |||
14 | Pultegroup INC Mi | 8.42% | 0.0 | |||
Rank | Company | Seal | Rating Value | Trend |
The Feature Distribution shows the main industry variables and the distribution of their impact on financial strength. The more important a variable, the broader the distribution. As the effects are calculated relative to the industry average, half of the companies have a positive effect (green) and half have a negative effect (red).
The Regression compares the forecasted company valuation with the observed stock market values. A positive correlation suggests that the model effectively explains market prices.
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