HDC Labs Co (039570) Fair Value & Analysis
Technology · KR · Market cap 181B KRW
Fair value as of: Jun 24, 2026
Analysis
HDC Labs Co (039570) currently trades at 7,390 KRW, while our model-based Fair Value estimate is 9,456 KRW — implying the stock looks roughly 28.0% 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
HDC Labs Co., Ltd. engages in the design, manufacture, installation, and maintenance of systems for building control, industrial process control, and information processing in South Korea, Southeast Asia, and the Middle East. The company offers smart home systems, including home control systems, smart LED lighting, connected systems (DC distribution), smart parking systems, and home ventilation. It also provides smart building systems comprising FRONNIX and Smartstruxure, which are building management systems; security systems; room management systems; and iCos, a central monitoring device for air conditioning systems, power, lighting, access control, IS, and CCTV integration. In addition, the company offers infrastructure solutions, such as smart road, smart rail, and smart port systems, as well as landscape architecture management systems. Further, it provides real estate management, real estate asset management consulting, and interior services. The company was formerly known as …
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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.