SV Investment Corporation (289080) Fair Value & Analysis
Financial Services · KR · Market cap 130B KRW
Fair value as of: Jun 26, 2026
Analysis
SV Investment Corporation (289080) currently trades at 1,887 KRW, while our model-based Fair Value estimate is 367.35 KRW — implying the stock looks roughly 80.5% overvalued today. We read business quality at 92/100 (high quality), in the Financial Services 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: low).
About the company
SV Investment Corporation is a private equity and venture capital firm. It considers investments in companies at early, mid, and late venture stages and private investments in public equities. The firm specializes in growth capital and buyouts. It also considers investments in healthcare, biotechnology, biopharmaceutical, cultural entertainment, technology, media, telecommunications, information technology, culture-information communication technology convergence, and consumer sectors. For venture capital and private equity investments, the firm focuses on investments in small and medium sized venture companies based in South Korea, operating in light emitting diode and its applications, digital contents, mobile information technology, semiconductor and display, and new growth engine industries. It typically invests between KRW 1000 million (USD 0.68 million) and KRW 5000 million (USD 3.41 million) per transaction. The firm typically exists through mergers and acquisitions by public…
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Frequently asked questions
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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.