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ProVen Growth & Income VCT plc (PGOO) Fair Value & Analysis

Financial Services · GB · Market cap 153M GBX

Pricep0.4530
Fair Valuep0.2600
Upside-42.6%
Quality95/100
Evidence: Low Range p0.1600 – p0.3400

Fair value as of: Jun 26, 2026

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Analysis

ProVen Growth & Income VCT plc (PGOO) currently trades at p0.4530, while our model-based Fair Value estimate is p0.2600 — implying the stock looks roughly 42.6% 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

ProVen Growth & Income VCT plc is a venture capital trust specializing in expansion and management buyouts. It does not invest in start ups. It seeks to invest in SMEs in United Kingdom. It's holding period is from three to four years.

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Frequently asked questions

Is ProVen Growth & Income VCT plc (PGOO) undervalued?
As of Jun 26, 2026, our model estimates a fair value of p0.2600 versus a price of p0.4530 — about −43% (overvalued). Model-based estimate, not financial advice.
What is the fair value of PGOO?
Our 21-model fair value for ProVen Growth & Income VCT plc is p0.2600 (as of Jun 26, 2026), built from audited fundamentals. The current price is p0.4530.
What is the quality score of PGOO?
ProVen Growth & Income VCT plc has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.