Sime Darby Property Reports Strong Earnings, Net Profit Up 15%

February 26, 2026
Company News
Bursa Malaysia

Sime Darby Property announced better-than-expected quarterly results, with net profit increasing 15% year-on-year, driven by strong sales from its residential projects and effective cost control measures.

KUALA LUMPUR, Feb 26, 2026 – Leading Malaysian property developer Sime Darby Property Bhd today announced encouraging quarterly results, with its net profit increasing by 15% year-on-year to RM120 million. This strong performance was primarily attributed to sustained high demand for its residential projects in Selangor and Johor, coupled with the company's effective cost management strategies. Revenue also grew by 8% to RM750 million. Sime Darby Property stated that its strategy of focusing on the mid-to-high-end residential market has been successful despite challenging market conditions. The company's management remains optimistic about future prospects, expecting to continue launching new projects to meet market demand and maintain healthy sales momentum.
Share:
Sunlight Capital
SUNLIGHTCapital Group

SunLight General Capital is a comprehensive investment company headquartered in New York, USA, founded in 2009. Core business includes solar facility development, financing, acquisition and operations, as well as AI-driven Malaysian stock market research and institutional education.

AI-Powered Investment Platform
New York Headquarters
1 World Trade Center, Suite 8500, New York, NY 10007, USA
Singapore Office
80 Raffles Place, No. 18-01 UOB Plaza 1 Singapore 048624
+1 (212) 286-1801
SunlightCapital8.com

Business Areas

  • Solar Project Development
  • Asset Acquisition & Operations
  • AI Investment Program
  • Institutional Investment Education
550+
Solar Facilities
99.9%
AI Stability

© 2026 SunLight General Capital. All rights reserved.

The content of this website is for reference only and does not constitute investment advice. Investment involves risks, investors should make decisions carefully based on their own circumstances. Past performance of AI programs does not guarantee future results.