2017 US Computers

Financial Strength Rankings using Artificial Intelligence

Top rated8 of 32
Best rating794 %
Worst rating-4,138 %
New companies6
Negative Economic Capital Ratio5 of 32

Lantronix INC climbed 9 positions from 19 to 10 due to its excellent Costs of Goods Sold.Fitbit INC lost 10 positions from 8 to 18 due to its bad Costs of Goods Sold.Interlink Electronics Inc entered the 2017 ranking at rank 1, making it the best newcomer.

Revenues143 B
Assets516 B
Expenses177 B
Stockholders Equity177 B
Unprofitable Companies15 of 32
RankCompanySealRating ValueTrend
1Interlink Electronics Inc794.21%0.0
2Wonhe High Tech International Inc603.77%1.0
3Digi International INC526.20%-1.0
4Transact Technologies Inc464.28%0.0
5Mitek Systems INC449.95%0.0
6Arista Networks Inc372.08%1.0
7Cray INC354.01%3.0
8F5 INC.331.50%3.0
9Super Micro Computer Inc319.33%5.0
10Lantronix INC263.96%9.0
11Juniper Networks INC252.87%5.0
12Electronics FOR Imaging INC252.02%5.0
13Apple Inc251.98%2.0
14Palo Alto Networks Inc243.46%7.0
15Xplore Technologies Corp241.59%0.0
16BIO KEY International INC225.68%-7.0
17HP INC182.82%0.0
18Fitbit INC179.09%-10.0
19Omnicell INC173.79%-7.0
20Fortinet Inc156.02%0.0
21Crossroads Systems INC137.42%8.0
22International Business Machines115.78%0.0
23Xerox Corp111.90%0.0
24Radisys Corp104.91%0.0
25Extreme Networks INC99.05%0.0
26A10 Networks Inc75.26%0.0
27Silicon Graphics International Corp28.47%1.0
28Mandiant Inc-15.01%-1.0
29Itron Networked Solutions Inc-48.02%-4.0
30Identiv Inc-179.34%1.0
31Exeo Entertainment Inc-1386.78%2.0
32Digital Donations Technologies Inc-4137.88%0.0
RankCompanySealRating ValueTrend

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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