Shenzhen Tianyuan DIC Information Technology Co (300047) Fair Value & Analysis
Technology · CN · Market cap 6.3B CNY
Analysis
Shenzhen Tianyuan DIC Information Technology Co (300047) currently trades at ¥10.04, while our model-based Fair Value estimate is ¥2.28 — implying the stock looks roughly 77.3% overvalued today. We read business quality at 94/100 (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 Tianyuan DIC Information Technology Co., Ltd. provides information technology products and solutions in Hong Kong, Macao, China, and Taiwan. The company offers cloud computing; capability open platform system software; AI platform; big data capability open; spatiotemporal big data; self-service data application tools; security services; and intelligent gateway management and operation platform. It also engages in the sales and development of large-scale software; consulting, solution design, system implementation, and related technical services to customers through business and technical consulting, product sales, technology development, and personnel outsourcing; development of IT technologies, including 5G, big data, artificial intelligence, system architecture, data middle platform, and business middle platform; and digital products for use in the 4G and 5G scenarios of telecommunications operators. It serves commercial banks, rural credit cooperatives, banks, insurance …
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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.