Shenzhen New Nanshan Holding (002314) Fair Value & Analysis
Real Estate · CN · Market cap 6.0B CNY
Analysis
Shenzhen New Nanshan Holding (002314) currently trades at ¥2.05, while our model-based Fair Value estimate is ¥3.93 — implying the stock looks roughly 91.7% undervalued today. We read business quality at 80/100 (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
Shenzhen New Nanshan Holding (Group) Co., Ltd. operates in the real estate development, and warehousing and logistics businesses in China. The company involved in the development of residential, industrial, and commercial real estate projects; development and operation of logistics parks; engineering, procurement, and construction; photovoltaic, and wind power generation business; offshore engineering; and offshore and onshore general contracting, including design, procurement, and construction. It also invests, develops, constructs, and operates management of modern logistics centers, as well as provides high-end warehousing, intelligent warehouse distribution, distribution processing, logistics value-added, green distribution, other comprehensive modern logistics, and supply chain business services. In addition, the company provides management output, cold chain logistics, and supply chain finance; and regional industrial development planning, urban supporting construction, indust…
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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.