Dongguan Mentech Optical & Magnetic Co (002902) Fair Value & Analysis
Technology · CN · Market cap 7.7B CNY
Analysis
Dongguan Mentech Optical & Magnetic Co (002902) currently trades at ¥36.14, while our model-based Fair Value estimate is ¥7.99 — implying the stock looks roughly 77.9% overvalued today. We read business quality at 94/100 (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: low).
About the company
Dongguan Mentech Optical & Magnetic Co., Ltd. manufactures and sells magnetic components, optical communication products, and power and ecological products in China and internationally. The company offers home energy storage solutions, such as balcony photovoltaic all-in-one machines, inverters, battery packs, and various accessories; and energy products, such as communication switching power supply systems, communication photovoltaic energy storage power supply systems, and industrial and commercial optical storage and charging solutions. It also sells power supply products, such as power equipment and adapters, chargers, mobile energy storage, and customized bare board power supplies; optoelectronics products for fiber optic wired access, wireless access, metro/transport network, and data centers/computing centers; bicycle, cycling equipment, panoramic camera, and magnetic products. The company's electronic products include communication and power products, such as network transfo…
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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.