Jiransecurity Co (208350) Fair Value & Analysis
Technology · KR · Market cap 23.5B KRW
Fair value as of: Jun 24, 2026
Analysis
Jiransecurity Co (208350) currently trades at 2,705 KRW, while our model-based Fair Value estimate is 4,534 KRW — implying the stock looks roughly 67.6% undervalued today. We read business quality at 80/100 (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: medium) — always confirm before acting.
About the company
Jiransecurity Co.,Ltd, a security software company, provides solutions and maintenance services for corporate information security and data management. The company offers malware/threat response solutions, including SaniTOX, an attachment malware response solution; and MudFix, a malicious email simulation training solution. It also provides mail security solutions, such as SpamSniper, an integrated email security solution to counter scams/ransomware; MailScreen, an email data loss prevention solution to prevent internal information leaks; Jaybolt Plus, a user-centric intelligent email archiving solution that improves email management efficiency and enables compliance with regulations; and Cloud MailGate, a zero-trust perspective enterprise cloud email integrated security service. In addition, the company offers document security products comprising DocuOne, a document centralization solution that safely integrates and manages corporate information assets through centralization of bu…
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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.