Ruentex Materials Co (8463) Fair Value & Analysis
Basic Materials · TW · Market cap 3.3B TWD
Fair value as of: Jun 24, 2026
Analysis
Ruentex Materials Co (8463) currently trades at 21.50 TWD, while our model-based Fair Value estimate is 33.50 TWD — implying the stock looks roughly 55.8% undervalued today. We read business quality at 86/100 (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
Ruentex Materials Co.,Ltd. engages in the cement, building materials, and engineering and construction businesses in Taiwan. The company offers Portland blast furnace slag, flexible, and Portland cement products; furnace slag powders; mortar, surface finishing, adhesive, and grouting materials; and non-shrink mortars and self-leveling compounds. It also provides interior, sliding, special, and entrance doors; accessories; and shifugrout U799 and T508 series products. In addition, the company manufactures and distributes semi-finished products; manufactures and sells clay used for wall primer, powder coating material, tile adhesive, self-leveling cement, and dry-mixed cement mortar applications; and develops, manufactures, and distributes building materials. Further, it engages in mining, manufacturing, and distribution of cement raw materials; mining and distribution of mineral ores; quarrying business; interior decoration, and construction and garden greening design businesses; des…
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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.