INFOvine.co.,Ltd. (115310) Fair Value & Analysis
Communication Services · KR · Market cap 57.6B KRW
Fair value as of: Jun 25, 2026
Analysis
INFOvine.co.,Ltd. (115310) currently trades at 6,870 KRW, while our model-based Fair Value estimate is 16,933 KRW — implying the stock looks roughly 146.5% undervalued today. We read business quality at 95/100 (high quality), in the Communication Services 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
INFOvine.co.,Ltd. engages in the development and supply of application software in the mobile, security, gaming, and entertainment fields in South Korea. The company offers UBIKey, a mobile phone certificate storage service; OneKeeper, a service that securely stores and protects personal and financial information saved on a mobile phone so that it is not leaked; Superpass, a login service; and real estate letter that provides various data and content useful for home purchases using real estate statistics. It is also involved in the planning and sale of music albums; development and management of rookie singers and actors; engagement and production of OSTs; management of actors; engagement in TV programs, movies, commercials, entertainment programs, etc.; investment and production of movies; and investment in the multimedia industry, as well as performance and broadcast content production activities. The company was founded in 2000 and is based in Seoul, South Korea.
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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.