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Caffyns plc (CFYN) Fair Value & Analysis

Consumer Cyclical · GB · Market cap 10.9M GBX

Pricep4.00
Fair Valuep2.16
Upside-46.0%
Quality95/100
Evidence: High Range p2.16 – p6.48

Fair value as of: Jun 24, 2026

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Analysis

Caffyns plc (CFYN) currently trades at p4.00, while our model-based Fair Value estimate is p2.16 — implying the stock looks roughly 46.0% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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

Caffyns plc operates as a motor vehicle retailer in the south-east of the United Kingdom. The company offers a range of new and used cars; and sells tires, oil, parts, and accessories, as well as provides aftersales, maintenance, and other services. It provides products of various brands, such as Audi, MG, CUPRA, Lotus, SEAT, Skoda, Vauxhall, Volkswagen and Volvo. Caffyns plc was founded in 1865 and is headquartered in Eastbourne, the United Kingdom.

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Frequently asked questions

Is Caffyns plc (CFYN) undervalued?
As of Jun 24, 2026, our model estimates a fair value of p2.16 versus a price of p4.00 — about −46% (overvalued). Model-based estimate, not financial advice.
What is the fair value of CFYN?
Our 21-model fair value for Caffyns plc is p2.16 (as of Jun 24, 2026), built from audited fundamentals. The current price is p4.00.
What is the quality score of CFYN?
Caffyns 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.