Auro Holdings (5025) Fair Value & Analysis
Basic Materials · MY · Market cap 85.9M MYR
Fair value as of: Jun 26, 2026
Analysis
Auro Holdings (5025) currently trades at 0.1450 MYR, while our model-based Fair Value estimate is 0.0400 MYR — implying the stock looks roughly 72.4% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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: medium).
About the company
Auro Holdings Berhad, an investment holding company, engages in the manufacture and sale of timber and timber products in Malaysia, Singapore, and South Korea. The company operates through Molding and Timber, Sale of food and Beverages, and Others segments. It offers interior and exterior molded timber products, air dried/kiln dried sawn timber, and veneer roll and wrapping products, as well as kiln drying and consultancy services; supplies information technology solutions; and trades in agricultural products. The company also provides timber treatment services; supplies seafood; trades in sand and other general products; charters vessels; other ancillary services; and engages in the property management, development, and construction activities, as well as dredging, excavation, and transportation of marine sand. In addition, it is involved in the food and beverage (F&B) business, including F&B shop operations, selling merchandise in store, and offering a variety of beverages and foo…
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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.