Anhui Ronds Science & Technology Incorporated (688768) Fair Value & Analysis
Technology · CN · Market cap 4.7B CNY
Analysis
Anhui Ronds Science & Technology Incorporated (688768) currently trades at ¥56.35, while our model-based Fair Value estimate is ¥17.71 — implying the stock looks roughly 68.6% 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
Anhui Ronds Science & Technology Incorporated Company provides solutions for machinery condition monitoring in the predictive maintenance field in China. Its main products are industrial equipment condition monitoring and fault diagnosis systems. The company offers hardware products, such as sensors, acquisition equipment, and auxiliary equipment; software covering supercare equipment intelligent operation and maintenance platform and iEAM intelligent equipment management system; and a Rongzhi Zhiwei app for the enterprise's daily maintenance and management needs for industrial equipment. It also provides software research and development, intelligent diagnosis, cloud services, etc. The company serves the wind power, petrochemical, metallurgical, cement, mining, thermal power, paper making, cement, water treatment plant, and coal chemical industries. It also exports its products to Europe, South America, North America, Southeast Asia, and other regions. The company was founded in 20…
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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.