Hancom WITH Inc (054920) Fair Value & Analysis
Technology · KR · Market cap 109B KRW
Fair value as of: Jun 25, 2026
Analysis
Hancom WITH Inc (054920) currently trades at 3,345 KRW, while our model-based Fair Value estimate is 7,093 KRW — implying the stock looks roughly 112.1% undervalued today. We read business quality at 93/100 (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
Hancom WITH Inc. offers security products and solutions in Korea. The company offers HancomSLedger, a blockchain platform; Hancom BSS, a blockchain security solution; Hancom Pass, a biometric authentication platform solution; FacePIN, a facial recognition solution; AnyPIN, a web standard solution that supports simple authentication of the instrument panel without installation; AnySign, a web section encryption solution that performs authentication, encryption, and decryption; and Hancom xPKI solution provides CA/RA/OCSP to build a private PKI infrastructure, including user management, and certificate issuance/management/verification/disuse list generation. It also provides Hancom xDB TSS, a storage-based encryption method that automatically encrypts and decrypts structured and unstructured data at the storage level without modifying the source; Clarity, an open-source visualization and security management solution; mobile and digital forensic products; mobile forensic training servi…
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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.