MQ Technology Berhad, an investment holding company, (0070) Fair Value & Analysis
Industrials · MY · Market cap 10.2M MYR
Fair value as of: Jun 26, 2026
Analysis
MQ Technology Berhad, an investment holding company, (0070) currently trades at 0.0550 MYR, while our model-based Fair Value estimate is 0.0633 MYR — implying the stock looks roughly 15.0% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
MQ Technology Berhad, an investment holding company, engages in the manufacture and sale of moulds, tools, dies, jigs, and fixtures in Malaysia, Thailand, Ireland, Singapore, and the United States. It designs, develops, and manufactures suspension and progressive tooling, and semiconductor cavity/encapsulation molds for application in hard disk drives and semiconductor industries; and automation modules/assemblies for digital data storage, medical instrument systems/devices, and optoelectronics applications and related components. The company is also involved in property and project development-related activities; wholesale of a variety of goods; the provision of physiotherapy, occupational therapy, and other human health services; and the manufacture of car spare parts, as well as plastics, metal, and blowing moulds for plastic products. MQ Technology Berhad was incorporated in 2003 and is headquartered in Petaling Jaya, Malaysia.
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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.