Ningbo Yunsheng Co (600366) Fair Value & Analysis
Industrials · CN · Market cap 14.4B CNY
Fair value as of: Jun 24, 2026
Analysis
Ningbo Yunsheng Co (600366) currently trades at ¥15.13, while our model-based Fair Value estimate is ¥6.02 — implying the stock looks roughly 60.2% overvalued today. We read business quality at 95/100 (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: high).
About the company
Ningbo Yunsheng Co., Ltd. engages in the research and development, manufacture, and sale of rare earth permanent magnet materials in China and internationally. The company provides sintered and bonded NdFeB magnets; and magnetic assemblies, including segmented magnetic tiles, spliced magnetic rings, 3C magnet assemblies, rotor magnet assemblies, and linear motor magnet assemblies. It also engages in the research and development, production, and sales of coating technology; industrial investment; technology development services; manufacturing and sales of wind turbines; research and development of new material equipment technology; manufacture and sales of various optical fibers, optical cable connectors, ceramic components, ferrules, and adapters; research and development, production, and sales of electromechanical products; and energy technology research and development services. Its products are used in new energy vehicles, electric aircraft, electric vessels, home appliances, con…
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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.