2020 US Computers
Financial Strength Rankings using Artificial Intelligence
| Top rated | 6 of 26 |
| Best rating | 926 % |
| Worst rating | -3,406 % |
| New companies | 5 |
| Negative Economic Capital Ratio | 5 of 26 |
| Rank | Company | Seal | Rating Value | Trend | ||
|---|---|---|---|---|---|---|
 | 1 | Intrusion INC |  | 926.27% | 2.0 |  |
 | 2 | Arista Networks Inc | | 499.35% | 2.0 | |
 | 3 | Digi International INC | | 484.59% | -1.0 |  |
 | 4 | Lantronix INC | | 358.52% | 1.0 | |
 | 5 | Omnicell INC | | 352.65% | 3.0 | |
 | 6 | Transact Technologies Inc | | 348.82% | -5.0 |  |
 | 7 | ONE Stop Systems INC | 315.96% | 0.0 |  | |
 | 8 | F5 INC. | 309.41% | -2.0 | | |
 | 9 | Palo Alto Networks Inc | 303.55% | 2.0 | | |
 | 10 | Super Micro Computer Inc | 265.95% | 0.0 |  | |
 | 11 | Juniper Networks INC | 241.15% | -1.0 | | |
 | 12 | Xerox Holdings Corp | 209.82% | 0.0 | | |
 | 13 | Apple Inc | 201.98% | -1.0 | | |
 | 14 | Extreme Networks INC | 187.25% | 4.0 | | |
 | 15 | Fortinet Inc | 181.66% | -1.0 | | |
 | 16 | Identiv Inc | 173.00% | 4.0 | | |
 | 17 | Immersion Corp | 159.80% | 0.0 | | |
 | 18 | HP INC | 138.01% | -5.0 | | |
 | 19 | A10 Networks Inc | 101.26% | 4.0 | | |
 | 20 | International Business Machines | 86.68% | 2.0 | | |
 | 21 | Mandiant Inc | 23.94% | 3.0 | | |
 | 22 | Fitbit INC | -37.30% | -1.0 | | |
 | 23 | Forescout Technologies INC | -109.81% | 2.0 | | |
 | 24 | Dror Ortho Design Inc | -260.54% | 0.0 | | |
 | 25 | BIO KEY International INC | -1411.70% | 2.0 | | |
 | 26 | Digitaltown Inc | -3406.15% | 0.0 | | |
| Rank | Company | Seal | Rating Value | Trend |
Feature Distribution Plot
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).
Regression Plot
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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