SSR Inc (275630) Fair Value & Analysis
Technology · KR · Market cap 19.9B KRW
Fair value as of: Jun 24, 2026
Analysis
SSR Inc (275630) currently trades at 3,055 KRW, while our model-based Fair Value estimate is 2,672 KRW — implying the stock looks roughly 12.5% overvalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
SSR Inc. provides integrated information security consulting, and IT solution development and maintenance services for public institutions, finance and other companies, educational institutions, and hospitals. It offers technology consulting services, such as penetration test, Web application vulnerability analysis, C/S application vulnerability analysis, smart mobile app vulnerability analysis, server vulnerability analysis, network scanning, information security system vulnerability analysis, log analysis, and security incident analysis. The company also provides administrative consulting services, including information security consulting, general information security consulting domain, KISA IMS certification consulting, ISO27001 certification consulting, and PIMS certification consulting. In addition, it provides SolidStep CCE, an IT infrastructure (CCE) vulnerability diagnosis automation solution; SolidStep CVE, a CVE vulnerability diagnosis automation solution; SolidStep PC, a…
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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.