- Cambricon reported a net income of 1.04 billion yuan for the first half of the year.
- The company achieved a revenue of 2.88 billion yuan.
- Earnings per share (EPS) stood at 2.48 yuan.
- Analyst recommendations include 12 buy ratings, 1 hold, and no sell ratings.
A look at Cambricon Technologies Lt Smart Scores
| Factor | Score | Magnitude |
|---|---|---|
| Value | 2 | |
| Dividend | 1 | |
| Growth | 5 | |
| Resilience | 4 | |
| Momentum | 5 | |
| OVERALL SMART SCORE | 3.4 |
Smart Score is a compound score for the Company indicating its overall outlook. It is derived by taking an equally weighted average of underlying Factor scores computed by Smartkarma
Cambricon Technologies Lt seems to have a promising long-term outlook, based on its Smartkarma Smart Scores. With high scores in Growth and Momentum, the company appears to be on a path of upward trajectory. Their focus on innovation and expansion is reflected in these scores, indicating a positive future for the company.
Although the company scores lower in Value and Dividend, its strong performance in Resilience suggests that it can weather challenges and remain competitive in the market. Overall, Cambricon Technologies Lt’s emphasis on growth and momentum positions it well for continued success in the industry.
Disclaimer: This article by Smartkarma is general in nature and based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. Note that our articles may not factor in the latest price-sensitive company announcements or qualitative material.
While all reasonable care has been taken in the preparation, Smartkarma makes no assurance about the accuracy of any generated data or content. All content is indicative only and should be independently checked for accuracy and confirmed before use. Smartkarma accepts no responsibility for any loss or damage caused as a result of any inaccuracy or error within the Lab online tools or generated data.
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