MN Holdings (0245) Fair Value & Analysis
Industrials · MY · Market cap 1.7B MYR
Fair value as of: Jun 24, 2026
Analysis
MN Holdings (0245) currently trades at 2.61 MYR, while our model-based Fair Value estimate is 1.50 MYR — implying the stock looks roughly 42.5% overvalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
MN Holdings Berhad, an investment holding company, provides underground utilities engineering and substation engineering services and solutions in Malaysia. The company procures, supplies, delivers, installs, lays, constructs, tests, commissions, inspects, repairs, and maintains power and auxiliary cables, and accessories for electricity transmission and distribution; telecommunication and fiber optic network for fixed and mobile telephony services; sewerage pipelines for transportation of sewage; and drainage pipelines for transportation of water. It is also involved in the design and establishment of indoor and outdoor electrical substations, structural and civil construction for medium and high voltage power substations, medium and high voltage underground cabling, and overhead line systems for transmission and distribution lines; and project management, construction, installation, testing, and commissioning of medium and high voltage power substations, medium and high voltage un…
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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.