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Shanghai Xinpeng Industry Co (002328) Fair Value & Analysis

Industrials · CN · Market cap 6.2B CNY

Price¥7.90
Fair Value¥4.54
Upside-42.5%
Quality81/100
Evidence: Medium Range ¥3.64 – ¥5.44

Analysis

Shanghai Xinpeng Industry Co (002328) currently trades at ¥7.90, while our model-based Fair Value estimate is ¥4.54 — implying the stock looks roughly 42.5% overvalued today. We read business quality at 81/100 (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 Xinpeng Industry Co.,Ltd. engages in the manufacture of automotive parts, metal and communication parts in China and internationally. It is also involved in investment business is mainly in industries such as medical medicine, integrated circuits, and advanced materials. It offers covers stamping, welding, blanking; sheet metal design and manufacturing, tooling design and processing, precision and continuous stamping, powder coating, assembly and other processing capabilities, and the products are data cabinets, liquid cooling cabinets, energy storage cabinets, intelligent electric cabinets that are used in auto parts, data centers, communications industry, energy storage and other fields; mold design and manufacturing; and CNC punching and bending, laser cutting. Shanghai Xinpeng Industry Co.,Ltd. was founded in 1997 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.