Earnings Alerts

Air China Ltd (A) (601111) Earnings Boosted by 22% Increase in November Passenger Traffic

By December 13, 2024 No Comments
  • Passenger traffic for Air China increased by 22% in November.
  • The passenger load factor for the airline stood at 79.3%.
  • Analyst recommendations for Air China include 11 buys, 3 holds, and 3 sells.

A look at Air China Ltd (A) Smart Scores

FactorScoreMagnitude
Value3
Dividend1
Growth5
Resilience2
Momentum3
OVERALL SMART SCORE2.8

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

Looking ahead, Air China Ltd (A) demonstrates a promising long-term outlook according to Smartkarma’s Smart Scores. With a strong score of 5 in Growth, the company is expected to expand and develop substantially in the future. This suggests a positive trajectory for Air China Ltd (A) in terms of business expansion and market growth opportunities.

However, the company’s overall outlook is somewhat mixed, with varying scores across different factors. While its Growth score is high, other aspects such as Value, Dividend, Resilience, and Momentum have more moderate scores. This indicates that while Air China Ltd (A) is poised for growth, investors may need to carefully consider these other factors in their investment decisions. Ultimately, Air China Limited’s position as a provider of passenger, cargo, and airline-related services in China positions it as a significant player in both domestic and international air transportation.


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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