Anhui Wantong Technology Co (002331) Fair Value & Analysis
Technology · CN · Market cap 3.5B CNY
Fair value as of: Jun 25, 2026
Analysis
Anhui Wantong Technology Co (002331) currently trades at ¥8.09, while our model-based Fair Value estimate is ¥10.21 — implying the stock looks roughly 26.2% undervalued today. We read business quality at 89/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
Anhui Wantong Technology Co.,Ltd. primarily engages in the provision of full-scenario intelligent solutions for the transportation industry in China. The company offers digital solutions comprising monitoring and charging system, road network monitoring and emergency command, highway, and mechanical and electrical operation and maintenance solutions for highway construction, management, maintenance, data operation, and application services systems. It is also involved in the provision of port shipping business systems, such as system integration solutions, and port and shipping cloud Big Data, as well as related software products and hardware equipment for building port terminals, and port and shipping logistics and government affairs. In addition, the company offers smart city solutions, including urban intelligent transportation, smart government, and financial security system solutions, as well as smart park and community solutions for urban economy, government affairs, people's …
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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.