Albion Technology & General VCT PLC (AATG) Fair Value & Analysis
Financial Services · GB · Market cap 268M GBX
Fair value as of: Jun 26, 2026
Analysis
Albion Technology & General VCT PLC (AATG) currently trades at p0.6550, while our model-based Fair Value estimate is p0.2000 — implying the stock looks roughly 69.5% 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 Technology & General VCT PLC is a venture Capital Trust specialize in early stage and growth stage investments.it prefer to invest in health tech, digital risk, Data and artificial intelligence, fintech and information technology related sector companies. It does not invest in companies that deal in property or shares and securities, banking and agriculture. It prefers to invest in technology and nontechnology-related companies based in the United Kingdom The fund seeks to invest half of the assets in quoted global technology stocks and the remaining assets in unquoted UK non-tech companies. It seeks to invest 40 percent in unquoted UK technology related companies and 60 percent in unquoted UK non-technology companies. It invests in shares or securities including loans with a five year or greater maturity period. 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…
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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.