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CapitaLand Ascott Trust (CLAS) (ATTRF) Fair Value & Analysis

Real Estate · US · Market cap $2.8B

Price$0.7386
Fair Value$0.8000
Upside+8.3%
Quality94/100
Evidence: High Range $0.7500 – $1.09

Analysis

CapitaLand Ascott Trust (CLAS) (ATTRF) currently trades at $0.7386, while our model-based Fair Value estimate is $0.8000 — implying the stock looks roughly 8.3% undervalued today. We read business quality at 94/100 (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

CapitaLand Ascott Trust (CLAS) is the largest lodging trust in Asia Pacific with an asset value of S8.9 billion dollar as of 31 December 2025. CLAS objective is to invest primarily in income-producing real estate and real estate-related assets which are used or predominantly used as serviced residences, rental housing properties, student accommodation and other hospitality assets in any country in the world. CLAS was listed on the Singapore Exchange Securities Trading Limited (SGX-ST) since March 2006, and is a constituent of the FTSE EPRA Nareit Global Real Estate Index Series (Global Developed Index). CLAS international portfolio comprises 103 properties with more than 18,000 units in 45 cities across 16 countries in Asia Pacific, Europe and the United States of America as of 31 December 2025. CLAS properties are mostly operated under the Ascott, Somerset, Quest and Citadines brands. They are mainly located in key gateway cities such as Barcelona, Berlin, Brussels, Hanoi, Ho Chi M…

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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.