Anhui ZhongDianXinLong Science and Technology Co (002298) Fair Value & Analysis
Industrials · CN · Market cap 6.3B CNY
Analysis
Anhui ZhongDianXinLong Science and Technology Co (002298) currently trades at ¥8.37, while our model-based Fair Value estimate is ¥1.27 — implying the stock looks roughly 84.8% overvalued today. We read business quality at 90/100 (high quality), in the Industrials 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 ZhongDianXinLong Science and Technology Co., Ltd. researches, develops, manufactures, sells, and services of smart energy-using products for electrical machinery manufacturing industry in China. It offers smart city products, including high-definition network cameras; soSCMS, a security-oriented smart city integrated management platform; ITS-CMS, an intelligent transportation central control platform software; an Internet of Things (IoT) information collection product; backend application platforms, including public security integrated information resource, video information integrated application, multimedia emergency response command and dispatch, and alarm and video application platform; and panoramic, surveillance, and smart checkpoints and integrated electronic police cameras, as well as infrared thermal imagers. The company also provides intelligent energy storage systems, high and low voltage power supplies and components, automation products, and transformers. In addit…
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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.