Chongqing YuXin Pingrui Electronic Co (301107) Fair Value & Analysis
Technology · CN · Market cap 3.7B CNY
Analysis
Chongqing YuXin Pingrui Electronic Co (301107) currently trades at ¥25.92, while our model-based Fair Value estimate is ¥10.48 — implying the stock looks roughly 59.6% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
Chongqing YuXin Pingrui Electronic Co., Ltd., together with its subsidiaries, engages in the research, development, manufacture, and sale of electronic and electrical components for general-purpose machinery, off-road vehicles, and automobiles in China, the United States, Europe, Japan, China, and Southeast Asia. The company offers ignition system products comprising igniters, triggers, and flywheels; sensing system products consisting of oil sensors and alarms; power supply system products, such as coils and rectifiers; and outboard motor parts. It also provides inverters and motors; anti-drag startup modules; display module products, including timers, power meters, and other instruments; carbon monoxide alarms; and IoT modules, as well as voltage regulators, permanent magnet motor stators and rotors, and range extenders and controllers. In addition, the company offers electric drive products comprising motors, controllers, chargers, and battery protection boards; and lithium-ion b…
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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.