Xiangyang BOYA Precision Industrial Equipments Co (300971) Fair Value & Analysis
Industrials · CN · Market cap 2.4B CNY
Fair value as of: Jun 24, 2026
Analysis
Xiangyang BOYA Precision Industrial Equipments Co (300971) currently trades at ¥20.08, while our model-based Fair Value estimate is ¥14.89 — implying the stock looks roughly 25.8% overvalued today. We read business quality at 92/100 (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
Xiangyang BOYA Precision Industrial Equipments Co., Ltd engages in the research and development, production, and sales of precision equipment for plate and strip forming and key components and supporting components for special equipment in China. The company offers tension leveler unit, precision leveler, and combined type tension leveler; Metal trimming machine types, including cut to length machine, metal side trimming machine, and scrap dispose equipment; color coating, galvanizing, and silicon steel roller coating machine; and spare parts, including levelling cassette, work roll, non-standard bearing, constant velocity joint, and hydraulic nut. It also provides flat metal finishing line products, such as rewinding, trimming and cross cutting combined, cleaning, and coil preparation lines; fine blanking line, fine blanking machine, blanking machine refabrication and maintenance; and cassette, leveler roll, and equipment revamping and repair products. The company's products are us…
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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.