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Zhejiang Shengyang Science and Technology Co (603703) Fair Value & Analysis

Technology · CN · Market cap 4.6B CNY

Price¥11.61
Fair Value¥5.96
Upside-48.7%
Quality93/100
Evidence: Medium Range ¥4.47 – ¥7.45

Analysis

Zhejiang Shengyang Science and Technology Co (603703) currently trades at ¥11.61, while our model-based Fair Value estimate is ¥5.96 — implying the stock looks roughly 48.7% 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

Zhejiang Shengyang Science and Technology Co.,Ltd., together with its subsidiaries, engages in the development, production, and sale of communication equipment in China, and internationally. Its products include 75-ohm coaxial cables, satellite high-frequency heads, intelligent control components, satellite communication terminals, 5G communication towers, connection products, and integrated wiring system solutions for use in various applications, such as satellite TV, network transmission, data centers, smart campuses, industrial Ethernet, maritime ships, Internet of vehicles, home appliances, and consumer electronics applications. Zhejiang Shengyang Science and Technology Co.,Ltd. was formerly known as Zhejiang Shengyang Cable Co., Ltd. and changed its name to Zhejiang Shengyang Science and Technology Co.,Ltd. in October 2010. The company was founded in 2003 and is based in Shaoxing, 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.