DLN (DLN) Fair Value & Analysis
Real Estate · GB · Market cap 2.0B GBX
Fair value as of: Jun 25, 2026
Analysis
DLN (DLN) currently trades at p18.57, while our model-based Fair Value estimate is p18.57 — implying the stock looks roughly 0.0% undervalued today. We read business quality at 95/100 (high quality), in the Real Estate 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
Derwent London Plc owns a commercial real estate portfolio predominantly in central London valued at 5.1 billion pounds as of 31 December 2025. It is the largest London office-focused real estate investment trust (REIT). Our experienced team has a long track record of creating value throughout the property cycle by regenerating our buildings via redevelopment or refurbishment, effective asset management and capital recycling. We typically acquire central London properties off market with low capital values and modest rents in improving locations, most of which are either in the West End or City Borders. We capitalize on the unique qualities of each of our properties - taking a fresh approach to the regeneration of every building with a focus on anticipating tenant requirements and an emphasis on design. Reflecting and supporting our long-term success, the business has a strong balance sheet with modest leverage, a robust income stream and flexible financing. We are frequently recogn…
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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.