British Smaller Companies VCT plc (BSV) Fair Value & Analysis
Financial Services · GB · Market cap 311M GBX
Fair value as of: Jun 26, 2026
Analysis
British Smaller Companies VCT plc (BSV) currently trades at p0.7150, while our model-based Fair Value estimate is p0.2800 — implying the stock looks roughly 60.8% 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
British Smaller Companies VCT plc is a venture capital trust specializing in investments in early stage, mid and late venture, later stage, recapitalizations, growing capital-consuming businesses, acquisition funding and business development in mature, VCT qualifying and non-qualifying unquoted and quoted companies listed on alternative investment market and ISDX. It is an evergreen fund. It seeks to invest in firms that have business services, manufacturing, industrial, healthcare, software, Information Technology, telecommunications, retail and brands. The fund invests in floatation and some emerging technology. It prefers to invest in the United Kingdom. The fund invests between £1 million ($1.45 million) and £10 million ($14.48 million) in companies with sales value between £5 million ($7.24 million) and £25 million ($36.21 million). It invests between £0.25 million ($0.36 million) and £1 million ($1.45 million) in development capital. It may also invest in preference shares and…
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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.