Albion Enterprise VCT PLC (AAEV) Fair Value & Analysis
Financial Services · GB · Market cap 280M GBX
Fair value as of: Jun 26, 2026
Analysis
Albion Enterprise VCT PLC (AAEV) currently trades at p1.08, while our model-based Fair Value estimate is p0.9300 — implying the stock looks roughly 13.5% 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: high).
About the company
Albion Enterprise VCT PLC is a venture capital trust specializing in early and growth stage investments. It seeks to invest in the information technology, software, pharmaceutical services, leisure sector, healthcare technology and fintech sector related companies. It does not invest in companies that deal in property or shares and securities, banking and agriculture. The fund invests in smaller unquoted companies based in the United Kingdom and invests in shares or securities including loans with a five year or greater maturity period. It seeks to invest through a mixture of equity and secured loans. The gross assets of a portfolio company must not exceed £15 million ($17.39 million) immediately prior to the investment and £16 million ($18.55 million) immediately thereafter. The portfolio companies may receive more than £5 million ($5.80 million) in aggregate from all state aided providers of risk capital, including VCTs, in the 12-month period up to and including the most recent s…
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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.