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Goldplat PLC (GDP) Fair Value & Analysis

Basic Materials · GB · Market cap 29.5M GBX

Pricep0.1550
Fair Valuep0.1100
Upside-29.0%
Quality92/100
Evidence: High Range p0.0800 – p0.1300

Fair value as of: Jun 26, 2026

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Analysis

Goldplat PLC (GDP) currently trades at p0.1550, while our model-based Fair Value estimate is p0.1100 — implying the stock looks roughly 29.0% overvalued today. We read business quality at 92/100 (high quality), in the Basic Materials 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

Goldplat PLC, together with its subsidiaries, operates as a mining services company in South Africa and Ghana. It recovers gold and other precious metals from by-products, contaminated soil, and other precious metal material from mining and other industries. Goldplat PLC was incorporated in 2005 and is based in London, the United Kingdom.

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Frequently asked questions

Is Goldplat PLC (GDP) undervalued?
As of Jun 26, 2026, our model estimates a fair value of p0.1100 versus a price of p0.1550 — about −29% (overvalued). Model-based estimate, not financial advice.
What is the fair value of GDP?
Our 21-model fair value for Goldplat PLC is p0.1100 (as of Jun 26, 2026), built from audited fundamentals. The current price is p0.1550.
What is the quality score of GDP?
Goldplat PLC has a Quality Score of 92/100, 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.