Xinzhi Group (002664) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 8.0B CNY
Analysis
Xinzhi Group (002664) currently trades at ¥18.73, while our model-based Fair Value estimate is ¥7.20 — implying the stock looks roughly 61.6% overvalued today. We read business quality at 95/100 (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: high).
About the company
Xinzhi Group Co., Ltd. engages in the research and development, manufacturing, and sale of various motors and their core components in China and internationally. The company offers EV motor stator core products, including stator core, rotor core, stator assembly, permanent magnet synchronous rotor assembly, and induction asynchronous rotor assembly of driving motor of new energy vehicle; automobile micro motor iron and electric tool motor core products; and stator core and assembly of automobile generators, such as stator core, round wire stator assembly, and flat wire stator assembly of automobile generator. It also provides electric bicycle motor stator core and assembly products; elevator traction machine iron core and elevator traction machine assembly products; and automobile starting motor casing and assembly, stator core of washing machine motor, stator and rotor iron core of electric tool motor; and stator and rotor assembly of ice compressor products. It serves automotive e…
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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.