2013 US Air
Financial Strength Rankings using Artificial Intelligence
Top rated | 4 of 17 |
Best rating | 101 % |
Worst rating | -2,924 % |
New companies | 2 |
Negative Economic Capital Ratio | 1 of 17 |
Financial Strength Rankings using Artificial Intelligence
Top rated | 4 of 17 |
Best rating | 101 % |
Worst rating | -2,924 % |
New companies | 2 |
Negative Economic Capital Ratio | 1 of 17 |
Us Airways Group INC climbed 4 positions from 17 to 13 due to its excellent Revenues.American Airlines INC lost 3 positions from 13 to 16 due to its bad Revenues.Saker Aviation Services Inc entered the 2013 ranking at rank 8, making it the best newcomer.
Revenues | 110 B |
Assets | 142 B |
Expenses | 164 B |
Stockholders Equity | 91.8 B |
Unprofitable Companies | 4 of 17 |
Rank | Company | Seal | Rating Value | Trend | ||
---|---|---|---|---|---|---|
1 | Spirit Airlines Inc | 101.03% | 1.0 | |||
2 | Bristow Group Inc | 95.45% | -1.0 | |||
3 | PHI Group Inc De | 85.09% | 0.0 | |||
4 | Federal Express Corp | 83.33% | 1.0 | |||
5 | Fedex Corp | 81.82% | -1.0 | |||
6 | Jetblue Airways Corp | 70.85% | 0.0 | |||
7 | Southwest Airlines Co | 70.63% | 1.0 | |||
8 | Saker Aviation Services Inc | 63.66% | 0.0 | |||
9 | Hawaiian Holdings INC | 57.92% | 0.0 | |||
10 | Great Lakes Aviation LTD | 41.80% | -3.0 | |||
11 | AIR Methods Corp | 40.55% | 0.0 | |||
12 | Atlas AIR Worldwide Holdings INC | 39.25% | -2.0 | |||
13 | Us Airways Group INC | 22.73% | 4.0 | |||
14 | American Airlines Group Inc | 21.28% | 0.0 | |||
15 | Delta Tucker Holdings Inc | 11.85% | 0.0 | |||
16 | American Airlines INC | 11.00% | -3.0 | |||
17 | Fuse Science Inc | -2924.39% | 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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