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Majedie Investments PLC (MAJE) Fair Value & Analysis

Financial Services · GB · Market cap 166M GBX

Pricep3.23
Fair Valuep3.84
Upside+19.1%
Quality95/100
Evidence: High Range p2.88 – p4.80

Fair value as of: Jun 26, 2026

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Analysis

Majedie Investments PLC (MAJE) currently trades at p3.23, while our model-based Fair Value estimate is p3.84 — implying the stock looks roughly 19.1% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.

About the company

Majedie Investments PLC is a public fund launched and managed by Majedie Asset Management Limited. The fund invests in public equity markets across the globe. Majedie Investments PLC was formed in October 1985 and is based in London, United Kingdom.

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Frequently asked questions

Is Majedie Investments PLC (MAJE) undervalued?
As of Jun 26, 2026, our model estimates a fair value of p3.84 versus a price of p3.23 — about +19% (undervalued). Model-based estimate, not financial advice.
What is the fair value of MAJE?
Our 21-model fair value for Majedie Investments PLC is p3.84 (as of Jun 26, 2026), built from audited fundamentals. The current price is p3.23.
What is the quality score of MAJE?
Majedie Investments 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.