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Sino Wealth Electronic Ltd (300327) Fair Value & Analysis

Technology · CN · Market cap 9.2B CNY

Price¥31.16
Fair Value¥3.52
Upside-88.7%
Quality93/100
Evidence: High Range ¥2.64 – ¥4.41

Analysis

Sino Wealth Electronic Ltd (300327) currently trades at ¥31.16, while our model-based Fair Value estimate is ¥3.52 — implying the stock looks roughly 88.7% overvalued today. We read business quality at 93/100 (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

Sino Wealth Electronic Ltd. designs, processes, manufactures, and sells integrated circuits in China and internationally. The company offers industrial MCU used in smart home appliances, variable frequency motors, and the Internet of Things; battery management chip used in lithium batteries and power battery management; AMOLED display drive chips for smart phones and smart watches; and automotive MCU for electronic control, motors, and batteries. It also provides home appliances; electricity meters; microcontroller; and automotive electronics. The company's products are used in smart home appliances, mobile phones, frequency conversion large appliances, electric bicycle controller, laptops, lithium battery management, consumer electronics, keyboard and mouse control and wireless blood pressure monitors, and blood glucose meters. Sino Wealth Electronic Ltd. was founded in 1994 and is based in Shanghai, China.

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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.