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Hangzhou Huasu Technology Co (301157) Fair Value & Analysis

Industrials · CN · Market cap 4.3B CNY

Price¥69.97
Fair Value¥10.14
Upside-85.5%
Quality95/100
Evidence: High Range ¥7.61 – ¥11.05

Analysis

Hangzhou Huasu Technology Co (301157) currently trades at ¥69.97, while our model-based Fair Value estimate is ¥10.14 — implying the stock looks roughly 85.5% 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: high).

About the company

Hangzhou Huasu Technology Co.,Ltd., together with its subsidiaries, engages in the research, development, production, and sale of battery safety management systems in China and internationally. The company offers battery management systems for lithium, lead-acid, and nickel-zinc batteries; wired and wireless battery monitoring systems; commercial and industrial, and PV hybrid and backup energy storage systems, as well as 3S modules; 3C discharging batteries and battery testers; Ubit U space managers; and DC master, an infrastructure monitoring and management platform. It also engages in commerce; and business management activities. The company serves the UPS and data center, telecommunication, energy storage, transport, power, and public utilities industries. Hangzhou Huasu Technology Co.,Ltd. was founded in 2005 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.