2015 US Programming
Financial Strength Rankings using Artificial Intelligence
| Top rated | 15 of 62 |
| Best rating | 412 % |
| Worst rating | -899 % |
| New companies | 11 |
| Negative Economic Capital Ratio | 10 of 62 |
Financial Strength Rankings using Artificial Intelligence
| Top rated | 15 of 62 |
| Best rating | 412 % |
| Worst rating | -899 % |
| New companies | 11 |
| Negative Economic Capital Ratio | 10 of 62 |
Modsys International Ltd climbed 16 positions from 26 to 10 due to its excellent Liabilities, Current.Linkedin CORP lost 16 positions from 19 to 35 due to its bad Liabilities, Non-Current.Sabre Corp entered the 2015 ranking at rank 16, making it the best newcomer.
| Revenues | 116 B |
| Assets | 235 B |
| Expenses | 99.6 B |
| Stockholders Equity | 190 B |
| Unprofitable Companies | 31 of 62 |
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.

This year's rating information is fee-based. Please request rates at
james.woods@realrate.ai