The Investment Company (INV) Fair Value & Analysis
Financial Services · GB · Market cap 6.2M GBX
Analysis
The Investment Company (INV) currently trades at p0.6950, while our model-based Fair Value estimate is p0.4700 — implying the stock looks roughly 32.4% 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
The Investment Company plc is a small registered, self-managed closed-ended balanced fund. The fund invests in the public equity and fixed income markets across the United Kingdom. It primarily invests in a portfolio of equities, preference shares, loans, stocks, and long-term debentures. The fund is managed by Chelverton Asset Management Limited. It invests in the public equity and fixed income markets of the United Kingdom. The fund seeks to invest in securities of companies operating across diversified sectors. It primarily invests in dividend paying growth stocks of companies across all market capitalizations, with a bias towards small cap companies. The fund also invests in loan stocks, debentures, convertibles, and other related instruments. It employs fundamental analysis with a bottom-up security selection approach, focusing on such factors as yield, growth prospects, market positions, caliber of management, risk, and cash resources to create its portfolio. The Investment Co…
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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.