Jinlong Machinery & Electronic Co (300032) Fair Value & Analysis
Industrials · CN · Market cap 3.4B CNY
Analysis
Jinlong Machinery & Electronic Co (300032) currently trades at ¥4.06, while our model-based Fair Value estimate is ¥0.5700 — implying the stock looks roughly 86.0% overvalued today. We read business quality at 94/100 (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
Jinlong Machinery & Electronic Co.,Ltd, together with its subsidiaries, engages in the research, development, production, and sale of motors, silicone rubber, plastic structural parts, and touch display products in China and internationally. It operates through Electronic Atomizer and Related Accessories, Structural Parts, Motor, Touch Display Module, and Others segments. The company offers micro drive and vibration motors, silicone rubber, plastic structural parts, cover glass, touch screens, and display modules; brusher, BLDC, gear, LRA, and ERM motors; mechanical components for mobile electronics, smart wearables, smart homes, interphones, automotive field, home remote control, household appliances, common mobile devices, medical fields, food grade products, and engineering miscellaneous parts; and electronic atomizers and related accessories, including disposable electronic cigarettes, replaceable electronic cigarettes, and cartridges. Its products are used in smart homes, smart…
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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.