Savills plc (SVLPF) Fair Value & Analysis
Real Estate · US · Market cap $1.6B
Analysis
Savills plc (SVLPF) currently trades at $11.31, while our model-based Fair Value estimate is $11.45 — implying the stock looks roughly 1.2% undervalued today. We read business quality at 93/100 (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
Savills plc, together with its subsidiaries, engages in the provision of real estate services in the United Kingdom, Continental Europe, the Asia Pacific, North America, Africa, and the Middle East. The company advises on commercial, residential, rural, and leisure properties; and provides corporate finance advisory, investment management, and a range of property-related financial services. It operates through Transaction Advisory, Property and Facilities Management, Investment Management, and Consultancy segments. The Transaction Advisory segment consists of Commercial Transactional and Residential Transactional, which offers commercial, residential, leisure, and agricultural leasing services; and tenant representation, as well as investment advice on purchases and sales. The Property and Facilities Management segment manages commercial, residential, leisure, and agricultural properties for owners; and provides services to occupiers of properties, including strategic advice and pro…
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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.