Nanjing Baose Co (300402) Fair Value & Analysis
Industrials · CN · Market cap 4.2B CNY
Analysis
Nanjing Baose Co (300402) currently trades at ¥17.59, while our model-based Fair Value estimate is ¥4.58 — implying the stock looks roughly 74.0% 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
Nanjing Baose Co., Ltd. engages in the research and development, design, manufacture, and installation of special Nanjing Baose Co., Ltd. engages in the research and development, design, manufacture, and installation of material pressure vessels of titanium, zirconium, nickel, tantalum, and stainless steel in China and internationally. The company offers reactors, condensers, towers, crystallizers, and supporting special material pipes and fittings for ultra-large PTA plants, as well as heat exchangers, reactors, and storage tanks for large-scale propane dehydrogenation to propylene plants; reaction vessels, preheaters, integrated high-temperature chlorination reactors, and distillation columns for ABS and high-performance resin; hydrogen peroxide plants; vacuum evaporators; preheaters, and flash tanks for the production of raw materials related to power batteries. It also provides ultrapure silicon reactors for polycrystalline silicon cold hydrogenation systems; SGS steam generator…
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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.