LSL Property Services plc (LSL) Fair Value & Analysis
Real Estate · GB · Market cap 218M GBX
Fair value as of: Jun 26, 2026
Analysis
LSL Property Services plc (LSL) currently trades at p2.10, while our model-based Fair Value estimate is p3.66 — implying the stock looks roughly 74.3% 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
LSL Property Services plc, together with its subsidiaries, provides business-to-business platform for residential market services in the United Kingdom. The company operates through three segments: Financial Services, Surveying & Valuation, and Estate Agency Franchising. The Financial Services segment offers compliance and other services to mortgage and insurance networks. The Surveying & Valuation segment provides surveyor-led valuations to UK mortgage lenders; a range of valuation methodologies; surveying and valuation services for consumers. This segment also manages the sale of residential properties on behalf of corporate clients and property investors. The Estate Agency Franchising segment offers brand marketing, and commercial and information technology support services under the Your Move and Reeds Rains brand names, as well as various local brands; estate agency services to house builders, developers, and investors; and conveyancing panel management and support services to …
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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.