Shanghai Hajime Advanced Material Technology Co (301000) Fair Value & Analysis
Industrials · CN · Market cap 8.6B CNY
Analysis
Shanghai Hajime Advanced Material Technology Co (301000) currently trades at ¥32.90, while our model-based Fair Value estimate is ¥11.83 — implying the stock looks roughly 64.0% 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: medium).
About the company
Shanghai Hajime Advanced Material Technology Co., Ltd. provides automobile assembly, auto parts, new energy vehicles, home appliances, and industrial components in China. The company offers automotive components, such as vacuum pump, oil pump, variable displacement oil pump, timing chain cover oil pump, fixed displacement oil pump, electronic compressor, and diesel filter assembly; automotive parts which include automotive airbag components, car engine knock sensor, thermal management module-pipeline, plastic tensioner components, carbon canister solenoid valve, quick couplings, electronic water valve, and thermostat and piping components; new energy vehicle, including automotive electronic water pump - pump housing, integrated impeller for automotive electronic water pumps, automotive water pump stator assembly, plastic tensioner for new energy vehicles, hybrid new energy vehicle engine shock, new energy vehicle electronic water pump - winding frame, and capacitor components; and h…
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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.