Kolon Industries, Inc (120110) Fair Value & Analysis
Basic Materials · KR · Market cap 2.5T KRW
Analysis
Kolon Industries, Inc (120110) currently trades at 66,500 KRW, while our model-based Fair Value estimate is 20,812 KRW — implying the stock looks roughly 68.7% overvalued today. We read business quality at 93/100 (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
Kolon Industries, Inc. engages in industrial materials, chemicals, films/electronic materials, and fashion businesses in South Korea and internationally. It operates through four segments: Industrial Materials, Chemistry, Fashion, and Others. The Industrial Materials segment produces tire cords, airbags, car seats, and related automotive materials. The Chemistry segment is engaged in the manufacturing of synthetic resins and eastern products. The Fashion segment offers clothing and supplies, while the Others segment includes PET yarn and chip sales, as well as rental services. The company also provides services such as rental income generation from investment properties. The company produces and sells industrial materials, such as polyester and hybrid tire cords; airbags; technical yarn; aromatic polyamide fibers; artificial leather; spunbond nonwoven fabrics under the Finon brand; membrane humidifiers; polymer electrolyte membranes; membrane electrode assemblies; and vent component…
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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.