Blue-Chips Mixed: Maybank, CIMB Lead Gains, Tenaga Sees Slight Pullback

March 2, 2026
Company News
The Edge Markets

Key Malaysian blue-chip stocks showed mixed performance on Monday. Maybank and CIMB Bank rose by 0.8% and 1.1% respectively, while Tenaga Nasional experienced a slight decline of 0.3% as investors engaged in profit-taking within the energy sector.

On March 2, 2026, Malaysian blue-chip stocks displayed varied performances. Financial giants Maybank and CIMB Bank led the banking sector's gains, rising 0.8% to RM9.55 and 1.1% to RM6.88 respectively, driven by market expectations of robust loan growth and improved asset quality. However, utility giant Tenaga Nasional saw a slight dip of 0.3% to RM10.20, partly due to profit-taking by investors following recent gains. Other consumer and telecommunications stocks, such as Nestle and Maxis, remained relatively stable. Market analysts believe that the resilience of banking stocks is a key factor supporting the broader market, while short-term fluctuations in energy stocks reflect investor caution regarding oil price movements.
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.