Ningbo United Group (600051) Fair Value & Analysis
Industrials · CN · Market cap 2.0B CNY
Fair value as of: Jun 24, 2026
Analysis
Ningbo United Group (600051) currently trades at ¥6.06, while our model-based Fair Value estimate is ¥5.70 — implying the stock looks roughly 5.9% overvalued today. We read business quality at 85/100 (high quality), in the Industrials 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: medium).
About the company
Ningbo United Group Co.,Ltd., together with its subsidiaries, engages in the real estate development business in China. It operates through Real Estate, Thermal, Commercial Trading, and Other segments. The company develops traditional residential properties, cultural tourism real estate, and specialty commercial real estate. It is also involved in electricity and heat production and supply business; operates boilers and turbines with total installed capacity of 45MW and a heating capacity of approximately 400 tons per hour; manufacturing, contract processing, and sales of coal-water slurry; and wholesale business. In addition, the company engages in export of coal and paper; and provision of loading, unloading, and warehousing services, as well as financial leasing. The company was formerly known as Ningbo Economic and Technical Development Zone United Development Corporation Limited and changed its name to Ningbo United Group Co.,Ltd. in June 1996. Ningbo United Group Co.,Ltd. was …
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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.