Yonyou Auto Information Technology (Shanghai) Co (688479) Fair Value & Analysis
Technology · CN · Market cap 6.3B CNY
Analysis
Yonyou Auto Information Technology (Shanghai) Co (688479) currently trades at ¥38.78, while our model-based Fair Value estimate is ¥8.01 — implying the stock looks roughly 79.3% 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
Yonyou Auto Information Technology (Shanghai) Co.,Ltd provides digital solutions, software and cloud services in China. The company offers automobile enterprise marketing system automobile marketing and after-market service. It also engages in conventional procurement, including the procurement of office computers and supplies, furniture, and appliances; third-party software and hardware procurement, including procurement of related software and hardware products from third parties based on customer or project needs; and service procurement, such as non-core work in projects outsourced to third parties based on the project's construction period and personnel configuration. In addition, the company provides digital solutions, software, and cloud services in the fields of marketing and aftermarket services. The company serves automotive, engineering machinery, motorcycle, and other industries. The company was founded in 2003 and is headquartered in Shanghai, China. Yonyou Auto Informa…
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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.