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Starhill Global Real Estate Investment Trust (SGLMF) Fair Value & Analysis

Real Estate · US · Market cap $891M

Price$0.3840
Fair Value$0.4200
Upside+9.4%
Quality95/100
Evidence: High Range $0.3100 – $0.4300

Analysis

Starhill Global Real Estate Investment Trust (SGLMF) currently trades at $0.3840, while our model-based Fair Value estimate is $0.4200 — implying the stock looks roughly 9.4% 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

Starhill Global Real Estate Investment Trust is a Singapore-based real estate investment trust investing primarily in real estate used for retail and office purposes, both in Singapore and overseas. Since its listing on the Mainboard of the Singapore Exchange Securities Trading Limited on 20 September 2005, Starhill Global REIT has grown its initial portfolio from interests in two landmark properties on Orchard Road in Singapore to nine properties in Singapore, Australia, Malaysia, Japan and China, valued at about S$2.8 billion as at 30 June 2025. These comprise interests in Wisma Atria and Ngee Ann City on Orchard Road in Singapore; Myer Centre Adelaide, David Jones Building and Plaza Arcade in Adelaide and Perth, Australia; The Starhill and Lot 10 Property in Kuala Lumpur, Malaysia; and a property each in Tokyo, Japan and Chengdu, China. Starhill Global REIT remains focused on sourcing attractive property assets in Singapore and overseas, while driving organic growth from its exis…

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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.