Shanghai New Huang Pu Industrial Group (600638) Fair Value & Analysis
Real Estate · CN · Market cap 3.5B CNY
Analysis
Shanghai New Huang Pu Industrial Group (600638) currently trades at ¥4.90, while our model-based Fair Value estimate is ¥8.67 — implying the stock looks roughly 76.9% undervalued today. We read business quality at 93/100 (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: high) — always confirm before acting.
About the company
Shanghai New Huang Pu Industrial Group Co., Ltd., together with its subsidiaries, engages in the real estate business in China. It constructs, develops, and operates rental, affordable, and commercial housing, as well as commercial offices, multi-story houses and villas, science and technology parks, and others. The company is also involved in real estate management; renovation of old and dangerous buildings; indoor and outdoor building decoration; property management; real estate consulting; and mechanical equipment installation and maintenance. In addition, it engages in the catering business; hotel management; sales of decoration, metal, wood, building, and chemical raw materials, hardware and electrical appliances, department stores, electrical equipment, and auto parts; and management and business services, as well as financial business, including futures brokerage, trusts, funds, and private securities. The company was formerly known as Shanghai New Huang Pu Real Estate Co.,Lt…
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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.