Shenzhen Forms Syntron Information Co (300468) Fair Value & Analysis
Technology · CN · Market cap 12.8B CNY
Analysis
Shenzhen Forms Syntron Information Co (300468) currently trades at ¥24.64, while our model-based Fair Value estimate is ¥4.10 — implying the stock looks roughly 83.4% 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: high).
About the company
Shenzhen Forms Syntron Information Co.,Ltd. engages in the provision of business solutions, customized software development and operation and maintenance services for financial institutions in China and internationally. The company offers platform universe; and blockchain solutions, as well as consumer finance loan core systems, internet retail credit platforms, and credit approval system; mobile banking, mobile account opening, corporate online banking system, faster payment system, and smart branch terminal; and decision support system, risk management, financial project management, management accounting system, process monitoring, customer relationship management, and customer transaction management. The company's digital transformation and digital financial innovation include business and technical architecture consulting services, solution delivery, customized software development and operation and maintenance services, and system integration services that integrate the company…
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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.