Shanghai Industrial Urban Development Group (SIUDF) Fair Value & Analysis
Real Estate · US · Market cap $33.8M
Fair value as of: Jun 26, 2026
Analysis
Shanghai Industrial Urban Development Group (SIUDF) currently trades at $0.0071, while our model-based Fair Value estimate is $0.0070 — implying the stock looks roughly 0.9% overvalued today. We read business quality at 80/100 (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
Shanghai Industrial Urban Development Group Limited, an investment holding company, engages in residential and commercial properties development, property investment, and hotel operations in the People's Republic of China. It also engages in property management services. In addition, the company leases various commercial and residential properties, such as offices, shopping malls, stores, marts, exhibition halls, car park units, and service/long-term rental apartments. Its real estate projects are located in Shanghai, Beijing, Tianjin, Wuxi, Shenyang, Xi'an, Chongqing, Yantai, Wuhan, and Shenzhen. The company was formerly known as Neo-China Land Group (Holdings) Limited and changed its name to Shanghai Industrial Urban Development Group Limited in September 2010. The company was incorporated in 1992 and is based in Central, Hong Kong. Shanghai Industrial Urban Development Group Limited operates as a subsidiary of Shanghai Industrial Holdings Limited.
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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.