Suzhou Veichi Electric Co (688698) Fair Value & Analysis
Industrials · CN · Market cap 12.7B CNY
Analysis
Suzhou Veichi Electric Co (688698) currently trades at ¥56.95, while our model-based Fair Value estimate is ¥22.62 — implying the stock looks roughly 60.3% 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
Suzhou Veichi Electric Co., Ltd. engages in the research and development, procurement, production, and sale of industrial automation products in China and internationally. The company offers long voltage drives, Servo systems, PLC, HMI, medium voltage drives, multi-motor drives, four-quadrant inverters, VFD accessories, and robot components; and industrial robot products, such as six axis, four axis, Scara, collaborative, and welding robots, as well as robot system equipment. It also provides solar pump system including solar water pump system and inverter, solar pump inverter cabinet, AC solar water pump, BLDC solar pump system, center pivot irrigation system, solar connector, solar dc cable, pv combiner box, solar panel, and accessories. In addition, the company offers renewable energy products, including hybrid inverters, off-grid and on-grid inverters, battery test system, EV controller, and lithium batteries; and industry specific drive products. The company was founded in 2005…
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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.