CDL Hospitality Trusts (CDHSF) Fair Value & Analysis
Real Estate · US · Market cap $747M
Analysis
CDL Hospitality Trusts (CDHSF) currently trades at $0.6400, while our model-based Fair Value estimate is $0.1500 — implying the stock looks roughly 76.6% overvalued today. We read business quality at 95/100 (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
CDL Hospitality Trusts is a stapled group comprising CDL Hospitality Real Estate Investment Trust (H-REIT), the first hotel real estate investment trust in Singapore. CDL Hospitality Business Trust (HBT), a business trust. CDLHT was listed on the Main Board of Singapore Exchange Securities Trading Limited on 19 July 2006. CDLHT is one of Asia's leading hospitality trusts with assets under management of S3.5 billion dollar and market capitalization of S1.1 billion dollar as at 31 December 2025. As at 31 December 2025, CDLHT owns 22 properties across 8 countries, with a total of 4,924 hotel rooms, 352 BTR apartments, 404 PBSA beds and a retail mall. The portfolio comprises six hotels and a retail mall in Singapore, two hotels in Australia, one hotel in New Zealand, two hotels in Japan, four hotels and two living assets in the United Kingdom, one hotel in Germany, one hotel in Italy and two resorts in the Maldives. The substantial value of its assets is concentrated in the central loca…
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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.