SEOWONINTECH.Co.,Ltd (093920) Fair Value & Analysis
Technology · KR · Market cap 90.6B KRW
Fair value as of: Jun 24, 2026
Analysis
SEOWONINTECH.Co.,Ltd (093920) currently trades at 4,575 KRW, while our model-based Fair Value estimate is 7,085 KRW — implying the stock looks roughly 54.9% undervalued today. We read business quality at 94/100 (high quality), in the Technology 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
SEOWONINTECH.Co.,Ltd provides device components for mobile phone, office automation, and information technology industries in South Korea and internationally. The company offers USB modems; CPEs, which provide Internet access and voice communication services for residential and small-medium business customers; mobile routers; modules and mini cards; and mobile phones. It also provides secondary battery management modules for data protection caused by battery discharge; protection circuit modules to protect over-charge, over-discharge, and over-current of battery packs; and miners cap lamps. In addition, the company offers rubber, plastic key, film forming, metal sheet, PC sheet, UV molding, and EL type key pads. Further, it provides key volume components for mobile phones, PDAs, etc.; rubber products, such as ear phone and screw covers, connector and RF covers, pads, and interior components; components made of special sponge for protecting fragile parts and preserving tightness in e…
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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.