China Overseas Land & Investment Limited (CAOVF) Fair Value & Analysis
Real Estate · US · Market cap $22.4B
Analysis
China Overseas Land & Investment Limited (CAOVF) currently trades at $2.05, while our model-based Fair Value estimate is $2.83 — implying the stock looks roughly 38.0% undervalued today. We read business quality at 90/100 (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: medium) — always confirm before acting.
About the company
China Overseas Land & Investment Limited, an investment holding company, engages in the property development, commercial property operations, and other businesses in the People's Republic of China, the United Kingdom, and Macau. It is involved in the rental of properties; material procurement and supply chain management activities; issuance of guaranteed notes; property consultancy and real estate agency; and construction and building design consultancy activities. The company provides loan financing and security investment services; operates hotels; and develops and sells properties. In addition, the company engages in the investment and financing, land consolidation, regional planning, real estate development, engineering construction, industrial import, and property management businesses. Further, it offers urban services, including office buildings, flexible working space, shopping malls, star-rated hotels, long-term rental apartments, logistics parks, and architectural design a…
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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.