Tek Seng Holdings (7200) Fair Value & Analysis
Consumer Cyclical · MY · Market cap 93.8M MYR
Fair value as of: Jun 25, 2026
Analysis
Tek Seng Holdings (7200) currently trades at 0.2450 MYR, while our model-based Fair Value estimate is 0.6600 MYR — implying the stock looks roughly 169.4% undervalued today. We read business quality at 80/100 (high quality), in the Consumer Cyclical sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Tek Seng Holdings Berhad, an investment holding company, manufactures and trades in polyvinyl chloride (PVC) related products and polypropylene (PP) non-woven products. It operates through three segments: Polyvinyl Chloride, Photovoltaic Solar, and Property Investment. The company offers PVC flooring, foam sheeting, sheeting, table cloth, car mat, leather, and tarpaulin products for various industries, including households, medical, stationery, bedding and mattress, automotive, etc.; PP non-woven fabrics for hygiene use in medical, and industrial and packaging industries; and cast polypropylene sheets that are used in stationery, healthcare, financial services, construction, food packaging, and other industrial sectors. It also researches, develops, manufactures, and trades in photovoltaic products, such as solar cells, panels, and modules, as well as PV systems; generates and supplies renewable energy; and rents properties. The company operates in Malaysia, Indonesia, Iraq, Yemen, …
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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.