Greattown Holdings (600094) Fair Value & Analysis
Real Estate · CN · Market cap 9.1B CNY
Analysis
Greattown Holdings (600094) currently trades at ¥3.95, while our model-based Fair Value estimate is ¥3.15 — implying the stock looks roughly 20.3% overvalued today. We read business quality at 92/100 (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
Greattown Holdings Ltd. engages in the real estate development business in China. It operates through Real Estate Business, Financial Investment Business, and Computing Service Business segments. The company develops residences, urban complexes, office buildings, hotels, tourism and cultural parks, and industrial parks. It also engages in various financial businesses, including insurance, securities, financial leasing, industrial mergers and acquisitions funds, equity investment funds, new energy industry funds, and real estate funds. In addition, the company offers commercial management services for commercial entities. Further, it is involved in the operation and leasing of properties; provision of computing power services; building materials trade; investment management, securities investment, and investing activities; business administration; management consulting; software and information technology; and trading and wholesale activities. Greattown Holdings Ltd. was founded in 1…
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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.