Soyea Technology Co (000909) Fair Value & Analysis
Technology · CN · Market cap 1.8B CNY
Fair value as of: Jun 26, 2026
Analysis
Soyea Technology Co (000909) currently trades at ¥3.54, while our model-based Fair Value estimate is ¥0.5800 — implying the stock looks roughly 83.6% overvalued today. We read business quality at 92/100 (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
Soyea Technology Co., Ltd. engages in the electronic information products, science and technology industrial parks, commodity trade, and real estate development businesses in China and internationally. It operates through four segments: Electronic Information, Industrial Park, Business, and Real Estate. The Electronic Information segment focuses on the research, development, production, and sales of smart transportation solutions, automotive electronics, smart charging equipment, smart community systems, and smart water services, offering products such as charging pile billing control units, ultra-high power charging systems, intelligent access control systems, and integrated service platforms for public rental housing. The Industrial Park segment manages and operates technology parks, including the Eastern Software Park and 5G Industry Pioneer Park, that provides incubation, property leasing, management, and information services primarily to enterprises in the internet, software de…
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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.