Qiming Information Technology Co (002232) Fair Value & Analysis
Technology · CN · Market cap 6.2B CNY
Analysis
Qiming Information Technology Co (002232) currently trades at ¥14.75, while our model-based Fair Value estimate is ¥2.52 — implying the stock looks roughly 82.9% overvalued today. We read business quality at 92/100 (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
Qiming Information Technology Co.,Ltd provides enterprise digital operation, smart car and intelligent connectivity, and cloud solutions primarily in China. It offers enterprise resource planning management system, smart nail, manufacturing execution system, logistics execution system, advanced planning and scheduling, transportation management system, warehouse management system, and supplier relationship management system solutions. The company also provides dealer management system, marketing management system, customer relationship management system, smart quality, clue operation, smart advertising, cloud-native PaaS platform, container engine, AI intelligent service platform, API gateway platform, low-code platform " QLCP, metaverse technology exploration platform, data platform, and intelligent operation and maintenance platform solutions. In addition, it offers intelligent connected cloud platform, new energy vehicle monitoring platform, commercial vehicle enterprise monitori…
Open the full interactive analysis →
Similar stocks
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.