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SURVF (SURVF) Fair Value & Analysis

Real Estate · US · Market cap $3.3B

Price$1.07
Fair Value$0.7900
Upside-26.2%
Quality94/100
Evidence: High Range $0.5900 – $0.9900

Analysis

SURVF (SURVF) currently trades at $1.07, while our model-based Fair Value estimate is $0.7900 — implying the stock looks roughly 26.2% overvalued today. We read business quality at 94/100 (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

Suntec Real Estate Investment Trust holds properties in Suntec City. It is Singapore's largest integrated commercial development (including one of Singapore largest shopping malls), a 66.3% interest in the Suntec Singapore Convention & Exhibition Centre, a one third interest in One Raffles Quay, and a one third interest in Marina Bay Financial Centre Towers 1 and 2 and the Marina Bay Link Mall; Suntec REIT also holds a 100% interest in a commercial building located at 177 Pacific Highway, Sydney, a 100% interest in a commercial building located at 21 Harris Street, Pyrmont, Sydney, a 50.0% interest in the Southgate Complex, Melbourne, a 50.0% interest in a commercial building in Olderfleet 477 Collins Street, Melbourne, and a 100% interest in a commercial building located at 55 Currie Street, Adelaide, Australia, and further holds a 50.0% interest in Nova Properties and a 100% interest in The Minster Building, both located in London, United Kingdom; Suntec REIT is managed by an exte…

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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.