Ningbo Yongxin Optics Co (603297) Fair Value & Analysis
Technology · CN · Market cap 13.6B CNY
Fair value as of: Jun 24, 2026
Analysis
Ningbo Yongxin Optics Co (603297) currently trades at ¥117.49, while our model-based Fair Value estimate is ¥39.64 — implying the stock looks roughly 66.3% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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 Yongxin Optics Co.,Ltd engages in the research, development, production, and sale of optical microscopes, optical component assemblies, and other optical products in China and internationally. The company offers optical instruments and components; and biological and industrial microscopes, barcode scanner lenses, plane optical components, professional imaging optical lenses, and lenses for use in optical and electronic products, such as bar-code scanners, motion optics, automotive driving, high-end cameras, HD projection, teaching, life sciences, and semiconductors, etc. It sells its products under the NOVEL, NEXCOPE, and Jiangnan brands. The company serves universities, research institutions, medical facilities, and enterprises. It exports its products to Europe, the United States, Japan, Singapore, and India. The company was formerly known as Ningbo Yongxin Optical Instrument Co., Ltd. and changed its name to Ningbo Yongxin Optics Co.,Ltd in 2000. Ningbo Yongxin Optics Co.,…
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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.