Hangzhou Shenhao Technology Co (300853) Fair Value & Analysis
Industrials · CN · Market cap 4.5B CNY
Fair value as of: Jun 24, 2026
Analysis
Hangzhou Shenhao Technology Co (300853) currently trades at ¥32.36, while our model-based Fair Value estimate is ¥20.50 — implying the stock looks roughly 36.7% overvalued today. We read business quality at 95/100 (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: medium).
About the company
Hangzhou Shenhao Technology Co.,LTD. focuses on the research and development, manufacturing, and sale of intelligent robots, intelligent monitoring and detection equipment, and intelligent control equipment in the field of industrial equipment testing and fault diagnosis in China. It offers indoor and outdoor wheeled substation inspection, tracked substation inspection, switchgear manipulation, substation switch room indoor wheeled inspection, rail-mounted intelligent inspection, catenary intelligent inspection, and transmission line inspection robots. The company also provides railway and train bottom inspection robots, and ultrasonic internal rail flaw detectors; explosion-proof wheeled inspection robots; and indoor intelligent spray disinfection and health guard robots. Its products are used in the power grid; rail transit; oil, gas, and chemical; public health industries. The company was incorporated in 2002 and is headquartered in Hangzhou, China.
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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.