Earnings Alerts

Singapore Airlines (SIA) Earnings: Passenger Load Factor Hits 86.1% Despite Year-on-Year Decline

  • Singapore Airlines Group’s passenger load factor for May 2024 was 86.1%, slightly lower than 88% the same month last year.
  • The number of passengers carried by the group airlines increased by 14% year-on-year (y/y) to 3.23 million.
  • The cargo load factor also improved, reaching 56.5%, compared to 53.2% y/y.
  • The total cargo and mail handled by the group increased by 25% y/y, totaling 92.5 million kilograms.
  • Available seat kilometers for the group airlines increased by 12.6% y/y.
  • Revenue passenger kilometers grew by 10.2% y/y.
  • Overall demand for air travel was robust across all route regions in May 2024.
  • Current market sentiment includes 2 buys, 7 holds, and 3 sells.
  • All comparisons are made with the values reported in the company’s original disclosures.

Singapore Airlines on Smartkarma

On Smartkarma, notable analysts like Neil Glynn and Mohshin Aziz have provided insightful coverage of Singapore Airlines. Neil Glynn, with a bearish stance, anticipates further earnings normalization for Singapore Airlines in 4Q24. He highlights that the company is facing significant inflationary pressures and forecasts for FY25 suggest a continued decline in earnings, significantly deviating from the consensus. Glynn emphasizes the importance of cost control and efficiency as key factors for SIA’s profitability.

In contrast, Mohshin Aziz takes a bullish view on Singapore Airlines, citing strong performance in November 2023 with positive passenger and cargo numbers. Aziz notes a favorable trend in fuel and USD costs, indicating a potentially promising period for SIA. He recommends a buy rating for the stock, projecting a substantial upside potential compared to the current market sentiment. The contrasting analyses from Glynn and Aziz provide investors with diverse perspectives on the future outlook of Singapore Airlines.


A look at Singapore Airlines Smart Scores

FactorScoreMagnitude
Value3
Dividend4
Growth5
Resilience3
Momentum4
OVERALL SMART SCORE3.8

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

Smartkarma Smart Scores provide a comprehensive outlook on Singapore Airlines Limited. With high ratings in Growth and Dividend, the airline is positioned for long-term success. A top score in Growth indicates potential for expansion and innovation, while a strong Dividend score suggests the company’s ability to provide consistent returns to shareholders. Although Value and Resilience scores are solid but not the highest, the Momentum score reflects positive traction in the market.

Singapore Airlines Limited, a prominent player in air transportation and related services, has a diverse operational reach spanning across various continents. Offering services such as air charter, pilot training, and tour wholesaling, the company is deeply integrated into global aviation. With a solid foundation and promising prospects in Growth and Dividend, Singapore Airlines appears well-equipped to navigate the aviation industry’s challenges and capitalize on future opportunities.


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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