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Frasers Logistics & Commercial Trust (FRLOF) Fair Value & Analysis

Real Estate · US · Market cap $2.9B

Price$0.7503
Fair Value$0.6800
Upside-9.4%
Quality93/100
Evidence: High Range $0.4700 – $0.7800

Analysis

Frasers Logistics & Commercial Trust (FRLOF) currently trades at $0.7503, while our model-based Fair Value estimate is $0.6800 — implying the stock looks roughly 9.4% overvalued today. We read business quality at 93/100 (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

Frasers Logistics & Commercial Trust is a Singapore-listed real estate investment trust. With a portfolio comprising 113 industrial and commercial properties, worth approximately S7.0 billion dollars as at 31 March 2026, diversified across five major developed markets " Australia, Germany, Singapore, the United Kingdom and the Netherlands. FLCT was listed on the Mainboard of Singapore Exchange Securities Trading Limited (SGX-ST) on 20 June 2016 as Frasers Logistics & Industrial Trust and was subsequently renamed Frasers Logistics & Commercial Trust on 29 April 2020 following the completion of a merger with Frasers Commercial Trust. FLCT's investment strategy is to invest globally in a diversified portfolio of income-producing properties used predominantly for logistics or industrial purposes located globally, or commercial purposes (comprising primarily CBD office space) or business park purposes (comprising primarily non-CBD office space and/or research and development space) locat…

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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.