Changshu Guorui Technology Co (300600) Fair Value & Analysis
Industrials · CN · Market cap 3.1B CNY
Fair value as of: Jun 24, 2026
Analysis
Changshu Guorui Technology Co (300600) currently trades at ¥10.26, while our model-based Fair Value estimate is ¥18.42 — implying the stock looks roughly 79.5% undervalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Changshu Guorui Technology Co.,Ltd. engages in the research, development, production, and sale of marine and marine engineering electrical and automation systems in China. The company offers circuit breakers, film capacitance, LV and MV switchboard and control, power, box counter, monitoring alarm, navigation control, valve drive, automation, and system integration products. It also provides software customization, simulation design, and circuit board function customization service; vibration, temperature and humidity, temperature rise, tension, salt spray, and rain test, as well as temperature humidity vibration comprehensive experimental platform, Sweden hexagon three coordinates measuring instrument, 3d scanner, electromagnetic compatibility EMC; sheet metal processing, machining, and material surface treatment service; and after-sale service. The company was formerly known as Changshu Ruite Electric Co.,Ltd and changed its name to Changshu Guorui Technology Co.,Ltd. in October 2…
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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.