Sinodata Co (002657) Fair Value & Analysis
Technology · CN · Market cap 7.1B CNY
Fair value as of: Jun 25, 2026
Analysis
Sinodata Co (002657) currently trades at ¥21.80, while our model-based Fair Value estimate is ¥15.30 — implying the stock looks roughly 29.8% 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: low).
About the company
Sinodata Co., Ltd. engages in application software development and the provision of technical services and related computer information system integration services in China and internationally. It offers data center services, including information system integration, IT operation and maintenance management, equipment maintenance services, data governance, and data analysis services. The company also provides artificial intelligence services, such as AI Agent development and operation platforms, covering the front, middle, and back-end business scenarios of banks including business process, customer service, credit, investment research, account management, and marketing agents. In addition, it offers computing power infrastructure comprising computing power center construction and reconstruction, deployment, optimization, maintenance, and multimodal applications. The company also provides financial technology services, blockchain and privacy computing services, and sells products rel…
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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.