Hsing Ta Cement Co (1109) Fair Value & Analysis
Basic Materials · TW · Market cap 5.0B TWD
Fair value as of: Jun 24, 2026
Analysis
Hsing Ta Cement Co (1109) currently trades at 14.50 TWD, while our model-based Fair Value estimate is 22.76 TWD — implying the stock looks roughly 57.0% undervalued today. We read business quality at 80/100 (high quality), in the Basic Materials 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
Hsing Ta Cement Co.,Ltd produces and sells cement and clinker products in Taiwan and China. The company offers Portland, low-alkali, hydraulic mixed cement, and dry-mixed cement sand, as well as building materials, special cement clinker, silicate cement clinker, mineral powder, and stones. It also engages in quarrying, processing, warehousing, and distributing of minerals; manufacturing, processing, warehousing, and distributing limestone chemicals, cement products, and limestone; recycling and wholesale of recycled materials; treatment and recycling of sewage; sale and leasing of real estate; and consultancy of building management. In addition, the company is involved in the research and development of environmental protection materials and material technology; provision of technology promotion services; development and service of energy conservation and environmental protection technology; manufacture of special equipment for environmental protection; promotion services of enviro…
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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.