Kukdo Chemical Co (007690) Fair Value & Analysis
Basic Materials · KR · Market cap 274B KRW
Fair value as of: Jun 25, 2026
Analysis
Kukdo Chemical Co (007690) currently trades at 31,750 KRW, while our model-based Fair Value estimate is 43,157 KRW — implying the stock looks roughly 35.9% undervalued today. We read business quality at 94/100 (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
Kukdo Chemical Co., Ltd. manufactures and sells epoxy and polyol resins. It offers epoxy resins; hardeners and accelerators; and composite materials comprising infusion, hand lay-ups, filament winding, pultrusion, prepreg, and resin transfer moldings, as well as rigid, semi-rigid, flexible, and elastomer non-foam polyurethane products. The company also provides electrical and electronic materials; advance materials, such as anisotropic conductive films, polyimides, and high purity resins; acrylate comprising epoxy, urethane, and ester acrylate oligomers; and reactive diluent, including mono, di, poly-functional glycidyl ethers, high purity, low-chlorine epoxy resins, and cycloaliphatic epoxy resins. Its products are used in marine paints, heavy-duty coatings, powder coatings, coatings for civil engineering and construction, consumer goods, packaging materials, and materials for transport equipment; industrial paints and coatings, paints for construction, heavy duty anticorrosive pai…
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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.