Shenzhen Tongye Technology Co (300960) Fair Value & Analysis
Industrials · CN · Market cap 2.5B CNY
Fair value as of: Jun 24, 2026
Analysis
Shenzhen Tongye Technology Co (300960) currently trades at ¥16.70, while our model-based Fair Value estimate is ¥7.10 — implying the stock looks roughly 57.5% 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
Shenzhen Tongye Technology Co.,Ltd. engages in the design, research and development, manufacture, sale, after-sales, and maintenance services for electrical equipment products for rail transit locomotives and rolling stock in China. The company offers power products, such as power supply cabinets, chargers, emergency ventilation and auxiliary inverters, train and auxiliary power supply cabinets, on-board bidirectional and supercapacitor charging devices, air conditioning power supplies, hybrid energy storage systems, and emergency power supply systems, as well as hydrogen energy bidirectional DC-DC power supplies, step-down regulated power supplies. It also provides intelligent control products, including logic control units, suspension and air conditioning controllers, intelligent air conditioning control panels, intelligent solid-state contactors, intelligent electrical control systems, low-voltage electrical appliance monitoring systems, battery management systems, network cards,…
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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.