Octopus Apollo VCT plc (OAP3) Fair Value & Analysis
Financial Services · GB · Market cap £539M
Fair value as of: Jun 25, 2026
Analysis
Octopus Apollo VCT plc (OAP3) currently trades at £0.4570, while our model-based Fair Value estimate is £0.3500 — implying the stock looks roughly 23.4% 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
Octopus Apollo VCT plc is a venture capital trust specializing in development and expansion investments in smaller unquoted companies. The fund invests in small and medium sized companies in the United Kingdom. The fund invests in business-to-business (B2B) software-based companies, technology, IT infrastructure, cybersecurity and sales and marketing. It typically invests in companies with debt investment values between £1 million ($1.64 million) and £2 million ($3.29 million). The fund primarily invests in the form of a secured loan using various unquoted investment instruments, including ordinary and preference shares, loan stocks, and convertible securities. It seeks to hold its investments from three to seven years. The fund primarily seeks to exit its investments through trade sales. It seeks to appoint either a director or a formal observer to the board of each investee company. It held uninvested funds in cash and money market funds. The fund seeks to make maximum investment …
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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.