ICG plc (ICGUF) Fair Value & Analysis
Financial Services · US · Market cap $7.5B
Analysis
ICG plc (ICGUF) currently trades at $26.00, while our model-based Fair Value estimate is $17.71 — implying the stock looks roughly 31.9% overvalued today. We read business quality at 97/100 (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: high).
About the company
ICG plc is a private equity firm specializing in direct and fund of fund investments. Within direct it specializes in private debt, venture debt, credit and equity investments. It invests in middle market, mature, growth capital, reinvestment, industry consolidations, bridge financing, restructuring of a shareholder base, acquisitions, public to private transactions with or without private equity backing, leveraged and acquisition finance, leveraged credit, partnership equity, management buyouts and management buyins, secondary (direct) and secondary (indirect) investments, traditional, development capital, public quoted company finance, off-balance-sheet finance, refinancing and recapitalizations, and pre-IPO financing. The firm does not invest in property companies, early-stage funds or start-ups. Within fund of fund, it specializes in secondary investments. It also invests in the debt, fixed income and alternate asset markets. The firm's alternative capital solutions invest in mi…
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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.