Jiangxi Huawu Brake Co (300095) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 3.6B CNY
Analysis
Jiangxi Huawu Brake Co (300095) currently trades at ¥9.39, while our model-based Fair Value estimate is ¥4.38 — implying the stock looks roughly 53.4% overvalued today. We read business quality at 90/100 (high quality), in the Consumer Cyclical 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: medium).
About the company
Jiangxi Huawu Brake Co.,Ltd. researches, designs, develops, manufactures, and sells industrial brakes and their control systems in China and internationally. It operates through three segments: Industrial Braking System Business, Aviation Business, and Other Business. The company engages in the research and development and manufacturing of aviation process equipment and engine parts, including engine casings and thrust reversers, tooling fixtures, molding molds, and assembly jigs. It also engages in the research and development, manufacturing, and sales of fluid engineering products, such as ductile iron, special material metal pipes, quick connectors, valves, etc.; and process control equipment and valve drive devices, such as electric actuators. It serves port machinery, wind power, metallurgical and mining machinery, hydraulic engineering, offshore heavy industry, construction machinery, power generation, petroleum, chemical, and rail transit braking systems. The company was foun…
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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.