Guangdong Faith Long Crystal Technology Co (300460) Fair Value & Analysis
Technology · CN · Market cap 2.6B CNY
Fair value as of: Jun 24, 2026
Analysis
Guangdong Faith Long Crystal Technology Co (300460) currently trades at ¥9.22, while our model-based Fair Value estimate is ¥1.16 — implying the stock looks roughly 87.4% overvalued today. We read business quality at 95/100 (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
Guangdong Faith Long Crystal Technology Co.,LTD. engages in the research and development, manufacture, and sale of surface mounted quartz crystal components and oscillators in China. It offers crystal components, including miniaturized, chip-type resistors, capacitors, and inductors, and crystal oscillators. Its products are used in the application of electronics, such as smart phones, wearable devices, automotive electronics, RFID, AR/VR, Beidou navigation and positioning, new energy vehicles, optical communications, servers, and AI hardware. It sales the products through online channels, such as e-commerce platforms, its own website, and offline channels targeting top customers. The company serves electronics manufacturers and technology companies in China and internationally. The company was formerly known as Guangdong Failong Crystal Technology Co.,Ltd. Guangdong Faith Long Crystal Technology Co.,LTD. was founded in 2002 and is headquartered in Dongguan, 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.