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CDFF (CDFF) Fair Value & Analysis

Real Estate · GB · Market cap 27.3M GBX

Pricep27.50
Fair Valuep21.39
Upside-22.2%
Quality95/100
Evidence: High Range p17.45 – p24.13

Fair value as of: Jun 26, 2026

Analysis

CDFF (CDFF) currently trades at p27.50, while our model-based Fair Value estimate is p21.39 — implying the stock looks roughly 22.2% 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

Cardiff Property Plc including Campmoss, specialises in property investment and development in the Thames Valley. The total portfolio under management, valued in excess of 22m pounds, is primarily located to the west of London, close to Heathrow Airport and in Surrey and Berkshire. Cardiff Property Plc was incroporated in 1886 in United Kingdom.

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Frequently asked questions

Is CDFF (CDFF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of p21.39 versus a price of p27.50 — about −22% (overvalued). Model-based estimate, not financial advice.
What is the fair value of CDFF?
Our 21-model fair value for CDFF is p21.39 (as of Jun 26, 2026), built from audited fundamentals. The current price is p27.50.
What is the quality score of CDFF?
CDFF 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.