DaeChang Solution Co (096350) Fair Value & Analysis
Industrials · KR · Market cap 71.9B KRW
Fair value as of: Jun 24, 2026
Analysis
DaeChang Solution Co (096350) currently trades at 1,788 KRW, while our model-based Fair Value estimate is 1,358 KRW — implying the stock looks roughly 24.0% overvalued today. We read business quality at 90/100 (high quality), in the Industrials 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: low).
About the company
DaeChang Solution Co., Ltd. produces marine engine parts, machinery parts, power plant parts, and offshore plant parts primarily in South Korea. The company's marine engine parts include cylinder covers, piston crowns, main bearing supports, chain wheels, rudder horns, stern bosses and tubes, tillers, fore castings, and rudder uppers and carriers; and machinery parts comprise impellers, mold bases, roll chocks, blade brackets, roll tires, rotor assemblies, kiln support rollers, and roller arms. Its power plant parts include diaphragms, dummy rings, HP inner casings, LNG turbine casings, plant carriers, roll tires, blade rings, LP top casings, HP inner shells, bearing housings, comp cylinder casings, grinding tables, inlet elbows, lower stands, cooling air manifolds, and packing heads; and offshore plant parts comprise sheaves, wildcat castings, upper crossarms, traveling crossarms and latches, chain stoppers, stopper latches, and chain wheels. The company also offers cryogenic syste…
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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.