Lion Chemtech Co (171120) Fair Value & Analysis
Basic Materials · KR · Market cap 74.1B KRW
Fair value as of: Jun 24, 2026
Analysis
Lion Chemtech Co (171120) currently trades at 1,950 KRW, while our model-based Fair Value estimate is 3,370 KRW — implying the stock looks roughly 72.8% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Lion Chemtech Co., Ltd. provides artificial marbles and wax products in South Korea. The company offers acrylic solid surfaces under the TriStone name and quartz surfaces under the BLACKSTONE brand for use in kitchen, bathroom, interior, and work of art; and accessories, such as shower trays, bathtubs, sink bowls and wash basins, and adhesives. It also provides LDPE, low polymer, LLDPE, HDPE, M-VLDPE, M-HDPE, oxidized PE, specialty, Homo PP, M-Homo PP, random co PP, POE, and EBS wax products that are used as PVC slip and mold releasing agents; and rubber, plastic, print ink, toner, cable, and hot melt additives, as well as in pigment dispersion and paint modification. In addition, the company manufactures and sells synthetic wax products. The company was formerly known as Lion Chemical and changed its name to Lion Chemtech Co., Ltd. in January 2001. Lion Chemtech Co., Ltd. was founded in 1973 and is headquartered in Daejeon, South Korea.
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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.