Suzhou Future Electrical Co (301386) Fair Value & Analysis
Industrials · CN · Market cap 3.0B CNY
Fair value as of: Jun 24, 2026
Analysis
Suzhou Future Electrical Co (301386) currently trades at ¥21.90, while our model-based Fair Value estimate is ¥14.48 — implying the stock looks roughly 33.9% 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 Future Electrical Co., Ltd. engages in the research, development, production, and sale of low-voltage circuit breaker accessories in China. The company offers intelligent terminals, including electric operating mechanisms, over and under voltage, leakage recloser, photovoltaic grid connected switch, surge protector, external circuit breaker of energy meters, intelligent distribution box, measuring switch, miniature circuit breaker, miniature residual current circuit breaker, disconnector, molded case circuit breaker, arc fault detection device, IoT gateway, remote controlled circuit breaker, relay type over and under voltage products, miniature reclosing device, smart circuit breakers, intelligent flexible control terminal, flexible control protocol conversion gateway for air conditioners, and a knife switch. It also provides MCCB accessories comprising auxiliary contact, auxiliary alarm contact, shunt tripper, MCCB UVR, motor operator, manually operated mechanism manually op…
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Frequently asked questions
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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.