Chinese Estates Holdings (CESTF) Fair Value & Analysis
Real Estate · US · Market cap $247M
Fair value as of: Jun 26, 2026
Analysis
Chinese Estates Holdings (CESTF) currently trades at $0.1500, while our model-based Fair Value estimate is $0.0400 — implying the stock looks roughly 73.3% 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: low).
About the company
Chinese Estates Holdings Limited is one of the leading property developers in Hong Kong. Chinese Estates Holdings Limited is the holding company of the Group and it is publicly listed on The Stock Exchange of Hong Kong Limited with stock code: 127. Chinese Estates core businesses comprise of property investment for rental and property development. The Group focuses primarily in Hong Kong, and diversifies its property interests to mainland China and the United Kingdom. Property Investment - The Groups investment properties include retail and office assets. Most of the investment properties of Chinese Estates are highly accessible and strategically located in prime commercial areas in Hong Kong such as Causeway Bay and Wanchai. In mainland China, Chinese Estates owns a five-star international hotel in Beijing. In the United Kingdom, Chinese Estates owns two investment properties in London. Over the past twenty years, Chinese Estates has built a reputation for conceptualising and imple…
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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.