Guangzhou R&F Properties Co (GZUHF) Fair Value & Analysis
Real Estate · US · Market cap $150M
Fair value as of: Jun 26, 2026
Analysis
Guangzhou R&F Properties Co (GZUHF) currently trades at $0.0400, while our model-based Fair Value estimate is $0.0400 — implying the stock looks roughly 0.1% undervalued today. We read business quality at 88/100 (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
Guangzhou R&F Properties Co., Ltd., together with its subsidiaries, develops and sells residential and commercial properties in the People's Republic of China, Malaysia, Australia, the United Kingdom, Cambodia, and South Korea. It operates through Property Development, Property Investment, Hotel Operations, and All Other segments. The company engages in the investment in and development of properties, including hotels, office buildings, shopping malls, theme parks, and other retail properties; provision of property management and leasing; operation and management of hotels and a theme park; and operation of sport, diet, healthcare, culture and entertainment, and business centers, as well as a football club. It also operates an offline exhibition, a trading complex, and an online ecological industry operation platform; and provides product, channel promotion, and supply chain platform services. In addition, the company provides senior living services, including health, leisure, routi…
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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.