nTels Co (069410) Fair Value & Analysis
Technology · KR · Market cap 38.4B KRW
Fair value as of: Jun 24, 2026
Analysis
nTels Co (069410) currently trades at 3,430 KRW, while our model-based Fair Value estimate is 5,501 KRW — implying the stock looks roughly 60.4% 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
nTels Co., Ltd. engages in the developing and supplying operation support systems for wired and wireless communication service providers. It offers NTELS Energy Management System, an energy monitoring solution; NTELS Smart Building, an integrated building management solution that facilitates automation and individual building systems; NTELS Industrial Safety, an intelligent industrial safety management solution that minimizes safety risks for workers and asset loss by tracking their location and movement in industrial facilities in real time; and NTELS Digital Signage, a cloud-based IoT-enabled information display solution that provides converged media services. The company also provides NTELS Smart Healthcare solutions, which offers patients and healthcare providers with interactive and customized healthcare services, such as online access to medical records, and disease diagnosis and treatment. In addition, it offers platform that enables IoT services; business support systems, Io…
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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.