Pantheon International PLC (PIN) Fair Value & Analysis
Financial Services · GB · Market cap 1.7B GBX
Analysis
Pantheon International PLC (PIN) currently trades at p3.87, while our model-based Fair Value estimate is p3.52 — implying the stock looks roughly 9.0% overvalued today. We read business quality at 95/100 (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
Pantheon International PLC specializes in fund of fund investments. For fund of fund investments, it seeks to invest in private equity, buyout, venture, growth, secondary investment funds, and special situations funds globally. Within private equity, it invests in late-stage buyouts to early-stage technology funds. In United States, the fund focuses on mid-market buyout, mature venture, and growth funds. In Europe, it focuses on mid-market buyout funds and in Asia, the fund focuses on growth and buyout funds. The fund seeks to invest globally with a focus on North America, Asia, Northern Europe, and the United States. It typically invests in funds specializing in unquoted investments and acquiring unquoted portfolios. The fund also co-invests alongside private equity managers. It may invest in any type of financial instrument, including equity and non-equity shares, debt securities, subscription and conversion rights and options in relation to such shares and securities and interest…
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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.