Shenzhen FRD Science & Technology Co (300602) Fair Value & Analysis
Technology · CN · Market cap 28.2B CNY
Analysis
Shenzhen FRD Science & Technology Co (300602) currently trades at ¥49.08, while our model-based Fair Value estimate is ¥12.53 — implying the stock looks roughly 74.5% 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: medium).
About the company
Shenzhen FRD Science & Technology Co., Ltd. manufactures and sells electromagnetic shielding and thermal materials and devices, and other electronic devices in China and internationally. The company offers EMI shielding materials, including fabric over foams and conductive, metal shielding products, electrically conductive elastomers, and microwave absorbers; thermal materials comprising graphite films, thermal interface materials, and boron nitride films; thermal modules and liquid cooling plates; centrifugal and axial fans; dexterous hands; 4G/5G antennas; semi solid die castings; power supplies, such as chargers; and high-pressure resin transfer molding (HP-RTM) and semi-solid die casting products. Its products are used in network communications, data centers, servers, consumer electronics, new energy vehicles, artificial intelligence, photovoltaics, energy storage, medical and household appliances, and other fields. The company was founded in 1993 and is based in Shenzhen, 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.