DAEWON Chemical Co (024890) Fair Value & Analysis
Basic Materials · KR · Market cap 22.9B KRW
Fair value as of: Jun 24, 2026
Analysis
DAEWON Chemical Co (024890) currently trades at 2,755 KRW, while our model-based Fair Value estimate is 5,098 KRW — implying the stock looks roughly 85.1% 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
DAEWON Chemical Co., Ltd. manufactures and supplies synthetic leather for use in shoes, balls, and vehicle interiors in South Korea. It also offers TV and monitor bezel less foam PAD tape; thermal conductive tape; poron and conductive tape; composite graphite and thermal conductive tape; LVDS FFC cable matching tape; double coated adhesive tape; ETC functional tape; light shielding tape; and white reflective sheet for display industries. In addition, the company provides strong adhesion mirror, flame retardant adhesive, strong adhesion double, foam sheet type-adhesive tapes for automotive industries, as well as battery for electronic vehicles. Further, it engages in the refining, processing, and selling DMF organic chemical solvents generated during the process of processing polyurethane synthetic leather. The company was founded in 1974 and is headquartered in Seoul, South Korea. DAEWON Chemical Co., Ltd. operates as a subsidiary of BGFecomaterials CO., LTD.
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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.