Dongjin Semichem Co (005290) Fair Value & Analysis
Basic Materials · KR · Market cap 2.8T KRW
Analysis
Dongjin Semichem Co (005290) currently trades at 57,400 KRW, while our model-based Fair Value estimate is 33,043 KRW — implying the stock looks roughly 42.4% overvalued today. We read business quality at 94/100 (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
Dongjin Semichem Co., Ltd. manufactures and supplies electronic materials and foaming agents. It offers azodicarbonamide, hydrazide, and UNICELL-G series for plastics and rubber; photoresist, a polymer compound that changes a specific pattern; stripper, a material that removes PR used in manufacturing LCDs and OLED panels; etchant, an acid that removes specific metals within a multilayer configuration to create microcircuit wiring; color resist, an organic composition that contains red, green, and blue pigments that emit light from the backlight; background electrode materials that coat the back of the electrode with a protective material for internal components, background electrode materials improve touch sensitivity by dissipating electricity into the conductive polymer layer; hard coating material; and touch screen. The company also provides semiconductor thinner that is used in edge bead removal process to remove unnecessary photoresist on the edge of silicon wafer after photor…
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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.