iSoftStone Information Technology (Group) Co (301236) Fair Value & Analysis
Technology · CN · Market cap 41.3B CNY
Analysis
iSoftStone Information Technology (Group) Co (301236) currently trades at ¥39.13, while our model-based Fair Value estimate is ¥5.61 — implying the stock looks roughly 85.7% 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: medium).
About the company
iSoftStone Information Technology (Group) Co., Ltd. provides information technology services in China and internationally. The company offers consultation and solutions, such as financial company integrated global, group treasury, e-CNY smart contract platforms, AISE products, non-car and health insurance core business systems, industrial internet of things application, power production supervision and online operation systems, retail business middle office, data governance, multi-cloud management platforms, cloud middle office - data middle office, AI-end cloud integrated, unified service platforms, digital intelligence supply chain, industrial metaverse, Merak 2.0 MaaS multi-modal large model operation platforms, and cloudVC solutions. It also provides digital technology services, including cloud intelligence, IT application and OpenHarmony/Euler/Gauss, industrial internet, enterprise management software, system integration, AI and large model applications, and data services and d…
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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.