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Petronas Chemicals Group Earnings: 532.0M Ringgit Net Income in 1Q with 7.56B Revenue and 7.0 Sen EPS – Analysts’ Ratings: 5 Buys, 9 Holds, 6 Sells

  • Petronas Chemicals reported a net income of 532.0 million ringgit in the first quarter of 2023.
  • The company’s revenue totaled 7.56 billion ringgit.
  • Earnings per share (EPS) was 7.0 sen.
  • The analyst consensus is 5 buys, 9 holds, and 6 sells.

A look at Petronas Chemicals Group‘s Smart Scores

Petronas Chemicals Group Bhd. is a chemical company that offers a diversified range of petrochemical products. According to the Smartkarma Smart Scores, the company has a good long-term outlook with a score of 3 for Value, 4 for Dividend, 4 for Growth, 4 for Resilience and 2 for Momentum. This indicates that the company is likely to continue to provide good value for shareholders, provide a steady dividend, show growth, and remain resilient in the long-term. However, the company may struggle to maintain momentum in the future.

The company offers a wide range of products such as olefins, polymers, fertilisers, methanol, and other basic chemicals and derivative products. With a good long-term outlook, Petronas Chemicals Group Bhd. is well-positioned to benefit from the growing demand for chemical products in the future.

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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