- In October, Air China’s passenger traffic increased by 8.7% compared to the previous period.
- The passenger load factor, which indicates how much of an airline’s passenger-carrying capacity is used, reached 85.3%.
- Current analyst ratings for Air China include 7 buy recommendations, 3 hold recommendations, and 5 sell recommendations.
A look at Air China Ltd (A) Smart Scores
| Factor | Score | Magnitude |
|---|---|---|
| Value | 3 | |
| Dividend | 1 | |
| Growth | 5 | |
| Resilience | 2 | |
| Momentum | 4 | |
| OVERALL SMART SCORE | 3.0 |
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
Based on the Smartkarma Smart Scores, Air China Ltd (A) shows a positive long-term outlook with high scores in Growth and Momentum. This suggests that the company is positioned for strong future expansion and has current market momentum. However, the company scores lower in Dividend and Resilience, indicating potential areas for improvement in terms of dividend payouts and the ability to weather economic challenges.
Air China Limited, a major player in the Chinese aviation industry, offers various airline-related services including passenger and cargo transportation. With Beijing as its primary base, the company serves as a crucial hub for both domestic and international air travel. While the company demonstrates strong growth potential and market momentum, attention may need to be paid to enhancing its dividend offerings and building resilience to economic fluctuations.
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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