Mayu Global Group (7099) Fair Value & Analysis
Industrials · MY · Market cap 55.5M MYR
Fair value as of: Jun 26, 2026
Analysis
Mayu Global Group (7099) currently trades at 0.1200 MYR, while our model-based Fair Value estimate is 0.1000 MYR — implying the stock looks roughly 16.7% overvalued today. We read business quality at 90/100 (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: low).
About the company
Mayu Global Group Berhad, an investment holding company, manufactures, processes, and trades in steel and metal related products in Malaysia and internationally. The company operates through Manufacturing, Trading, Property Development, and Others segments. It is involved in the process of shearing, re-shearing, and slitting of steel coil, slitted flat bars, steel roofing, steel pipes, strapping, flat bars, wall cladding, and structural floor decking; manufacturing and marketing of perforated metal, cables support, systems and screen plate, steel furniture; and the industrial recycling of scrap metals. In addition, the company engages in shredding, shearing, processing, and trading of ferrous and non-ferrous scrap metals, as well as provision of hardware items. Further, it is involved in the letting of industrial and commercial assets, as well as machineries; operation of metal sheet and coil processing centre; the provision of management consultancy services; provision of recreatio…
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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.