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Singapore Land Group (UILCY) Fair Value & Analysis

Real Estate · US · Market cap $3.9B

Price$55.08
Fair Value$53.09
Upside-3.6%
Quality86/100
Evidence: Medium Range $38.32 – $67.87

Analysis

Singapore Land Group (UILCY) currently trades at $55.08, while our model-based Fair Value estimate is $53.09 — implying the stock looks roughly 3.6% overvalued today. We read business quality at 86/100 (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: medium).

About the company

Singapore Land Group Limited, an investment holding company, engages in the development of properties for investment and trading in Singapore and internationally. The company operates through Property Investment, Property Trading, Hotel Operations, Technology Operations, and Others segments. It develops and leases commercial office, retail space, and residential properties. The company also offers property management services; invests in and operates hotels; invests in retail centers; distributes computers and related products; and provides information technology, systems integration, and networking infrastructure services. In addition, it invests in shares; retails computer hardware and software; and provides project and marketing management, and other related services, as well as treasury services. The company was incorporated in 1963 and is based in Singapore. Singapore Land Group Limited is a subsidiary of UOL Group Limited.

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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.