0060 (0060) Fair Value & Analysis
Technology · MY · Market cap 288M MYR
Fair value as of: Jun 26, 2026
Analysis
0060 (0060) currently trades at 0.1350 MYR, while our model-based Fair Value estimate is 0.0300 MYR — implying the stock looks roughly 77.8% overvalued today. We read business quality at 93/100 (high quality), in the Technology 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
Harvest Miracle Capital Berhad, an investment holding company, engages in the trading of information technology (IT) and information communication technology (ICT) related products and services in Malaysia, Japan, the United Kingdom, Singapore, Australia, Philippines, and Taiwan. It operates through eight segments: IT and ICT, Investment properties, Money lending, Plantation, Manufacturing, Investment holding, Trading of Building, and Construction and Property Development. The company engages in the trading of software, hardware, and accessories; and providing software development and support services; money lending activities, such as personal and small business loans; and operating oil palm and durian plantations. It is also involved in property investment, development, and construction businesses; palm oil and durian plantation activities; manufacture and sale of clay bricks, clay pavers, and decorative bricks; acts as lorry transport operator and general merchant; hiring of indu…
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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.