Wanma Technology Co (300698) Fair Value & Analysis
Technology · CN · Market cap 4.3B CNY
Analysis
Wanma Technology Co (300698) currently trades at ¥30.48, while our model-based Fair Value estimate is ¥7.02 — implying the stock looks roughly 77.0% 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
Wanma Technology Co., Ltd. engages in the research and development, production, system integration, and sales of communication and medical information equipment. The company provides communications business products, including mobile base station, optical communication, power distribution, and industry customer products, as well as optical cable products comprising patch panels, junction boxes, fiber splitter boxes, distribution boxes, and optical devices. Its communication products are used in IDC computer rooms, cloud platform construction, communication network, national high-speed rail, rail transit, and various other applications. The company offers medical information products, such as hospital information technology products and medical system software; mobile medical care, mobile doctor, and bedside mobile settlement workstations; operating room smart clothing management system; intelligent consumables management cabinet; narcotics cabinet and smart house; channel identifica…
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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.