Yonyou Network Technology Co (600588) Fair Value & Analysis
Technology · CN · Market cap 34.4B CNY
Analysis
Yonyou Network Technology Co (600588) currently trades at ¥9.99, while our model-based Fair Value estimate is ¥6.67 — implying the stock looks roughly 33.2% overvalued today. We read business quality at 84/100 (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
Yonyou Network Technology Co.,Ltd., together with its subsidiaries, provides digital software and services to enterprises and public organizations in China and internationally. The company operates YonBIP, a business innovation platform that offers cloud services; and Chanjet, which provides digital finance, taxation, and digital business cloud services, as well as provides community and customer support services. It is also involved in the sale of computer software, hardware, consumables, printing paper, books, and electronics; property management; advertising; leasing of office space; internet data centers; information services; technical and business management consulting; technical exchange and training services; computer software development services; technology promotion and application services; computer system integration; financial investment; software and information technology services; computing software; investment management and consulting; insurance; business services…
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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.