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Fletcher King Plc (FLK) Fair Value & Analysis

Real Estate · GB · Market cap 4.4M GBX

Pricep0.5900
Fair Valuep0.5800
Upside-1.7%
Quality95/100
Evidence: High Range p0.5300 – p0.6400

Fair value as of: Jun 26, 2026

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Analysis

Fletcher King Plc (FLK) currently trades at p0.5900, while our model-based Fair Value estimate is p0.5800 — implying the stock looks roughly 1.7% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate 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

Fletcher King Plc provides a range of property advice services in the United Kingdom. The company provides services in the areas of property fund management, property asset management, investment broking, valuations, development, and ratings. Fletcher King Plc was incorporated in 1986 and is based in London, the United Kingdom

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Frequently asked questions

Is Fletcher King Plc (FLK) undervalued?
As of Jun 26, 2026, our model estimates a fair value of p0.5800 versus a price of p0.5900 — about −2% (overvalued). Model-based estimate, not financial advice.
What is the fair value of FLK?
Our 21-model fair value for Fletcher King Plc is p0.5800 (as of Jun 26, 2026), built from audited fundamentals. The current price is p0.5900.
What is the quality score of FLK?
Fletcher King 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.