M N C Wireless Berhad, an investment holding company, (0103) Fair Value & Analysis
Communication Services · MY · Market cap 37.7M MYR
Fair value as of: Jun 26, 2026
Analysis
M N C Wireless Berhad, an investment holding company, (0103) currently trades at 0.0400 MYR, while our model-based Fair Value estimate is 0.0440 MYR — implying the stock looks roughly 10.0% undervalued today. We read business quality at 95/100 (high quality), in the Communication Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
M N C Wireless Berhad, an investment holding company, engages in the research, development, sale, and marketing of wireless, mobile, and multimedia solutions and content in Malaysia. It operates through Mobile Applications; Wireless and Multimedia Related Services; and Others segments. The company is also involved in the consultation, sale, marketing, and implementation of m-business solutions; and management of content resources for business to business and business to consumer enterprise applications. In addition, it offers mobile content platforms that enables content providers to sell mobile content through short message service to mobile phone users; web design and hosting services; and digital communication and advertising services. M N C Wireless Berhad was founded in 2002 and is headquartered in Petaling Jaya, Malaysia.
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Frequently asked questions
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.