AhnLab, Inc (053800) Fair Value & Analysis
Technology · KR · Market cap 550B KRW
Fair value as of: Jun 24, 2026
Analysis
AhnLab, Inc (053800) currently trades at 52,500 KRW, while our model-based Fair Value estimate is 70,141 KRW — implying the stock looks roughly 33.6% 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
AhnLab, Inc. provides information security solutions and services for consumers, enterprises, and small and medium businesses worldwide. It offers AhnLab XDR, a cloud-based and SaaS-delivered platform that collects and analyzes logs from various systems and helps customers to manage cyber risks; AhnLab MDS, an advanced persistent threat protection solution; and AhnLab CPP, a cloud workload protection platform. It also provides AhnLab EPP, an endpoint protection platform for optimized interoperation and integrated management of various security functions; AhnLab EDR, an endpoint detection and response solution that monitors endpoints for threat detection, analysis, and response; V3 Endpoint Security, an endpoint security solution; and V3Net for Windows Server, an integrated security solution to protect computer and personal information by detecting and repairing malicious security threats, as well as blocking hack attacks. In addition, the company offers V3 Mobile Security, a mobile …
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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.