Subur Tiasa Holdings (6904) Fair Value & Analysis
Basic Materials · MY · Market cap 136M MYR
Fair value as of: Jun 24, 2026
Analysis
Subur Tiasa Holdings (6904) currently trades at 0.7550 MYR, while our model-based Fair Value estimate is 0.3000 MYR — implying the stock looks roughly 60.3% 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: high).
About the company
Subur Tiasa Holdings Berhad, an investment holding company, engages in the extraction and sale of logs in Malaysia, India, Japan, South Korea, Taiwan, and internationally. The company operates through Timber, Plantation, and Others segments. Its Timber segment is involved in the extraction and sale of logs; subcontract of tree planting; and manufacture and trade of plywood, veneer, raw and laminated particleboard, sawn timber, finger-joint moulding, and charcoal. The Plantation segment cultivates oil palms and sells fresh fruit bunches. Its Others segment engages in the provision of towage and transportation, and insurance services; property holding and development activities; and manufacturing and trading of drinking water. The company is also involved in the development and maintenance of planted forests and forest plantation contractor; supply of electricity and steam; and trading of lighting products, merchandise and canteen goods, charcoal, drinking water, office materials, gen…
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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.