Hyosung ITX Co (094280) Fair Value & Analysis
Technology · KR · Market cap 135B KRW
Fair value as of: Jun 25, 2026
Analysis
Hyosung ITX Co (094280) currently trades at 11,850 KRW, while our model-based Fair Value estimate is 27,159 KRW — implying the stock looks roughly 129.2% undervalued today. We read business quality at 95/100 (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
Hyosung ITX Co. Ltd provides contact center services and IT solutions in South Korea. The company offers IT solutions and services, such as system integration that includes the integration of tangible and intangible products, such as hardware, software, and networks with consulting, systems design and repair and maintenance for a comprehensive computing solution; big data services, content delivery network (CDN) services, infrastructure sales, and display solution services, such as the provision of beam projectors and digital cinema projectors to public institutions, schools, businesses, and theaters; content delivery network; and IDC services, as well as smart factory solutions, that includes research and design, purchase of raw materials, production, distribution, marketing, sales, management, service, etc. It is also involved in the operation of the contact center and provides in-house services, full-outsourcing services, and tailored total services; ASP services, such as workspa…
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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.