YBM Net, Inc (057030) Fair Value & Analysis
Academic & Educational Services · KR · Market cap 36.3B KRW
Fair value as of: Jun 24, 2026
Analysis
YBM Net, Inc (057030) currently trades at 2,160 KRW, while our model-based Fair Value estimate is 2,183 KRW — implying the stock looks roughly 1.0% undervalued today. We read business quality at 95/100 (high quality), in the Academic & Educational 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
YBM Net, Inc. provides education services in South Korea and internationally. It engages in the producing, distributing, and selling content in technology-based formats; provision of language proficiency tests; and administration of various IT certification exams. The company also offers English language study programs, including test preparation courses and joint programs with overseas universities; digital content and e-learning services; premium meeting facilities; professional facility for educational events, workshops, or student camps; and social services. In addition, it handles copyright management, licensing, and merchandising for Cartoon Network original programs and their cartoon characters. The company was formerly known as YBM Sisa.com, Inc. and changed its name to YBM Net, Inc. in April 2016. YBM Net, Inc. was founded in 2000 and is headquartered 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.