Suzhou Harmontronics Automation Technology Co (688022) Fair Value & Analysis
Industrials · CN · Market cap 1.4B CNY
Fair value as of: Jun 24, 2026
Analysis
Suzhou Harmontronics Automation Technology Co (688022) currently trades at ¥7.94, while our model-based Fair Value estimate is ¥3.42 — implying the stock looks roughly 56.9% 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
Suzhou Harmontronics Automation Technology Co., Ltd engages in the research, design, development, sale, and servicing of intelligent manufacturing equipment and systems in China. It offers automotive intelligent manufacturing equipment, including automotive solutions for electric drive and thermal management systems, as well as sensor, wire harness, connector, and controller automation solutions; and battery charging and swapping intelligent manufacturing equipment comprising passenger car charging and swapping stations, commercial vehicle charging and swapping stations, core components, charging pile, and terminal operating systems. The company also provides cloud platform, station control and operation system, as well as multi-configuration, multi-scenario, compatible, sharable, and iterable charging and replacement solutions and services Suzhou Harmontronics Automation Technology Co., Ltd was founded in 2007 and is based in Suzhou, 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.