Shijiazhuang Tonhe Electronics Technologies Co (300491) Fair Value & Analysis
Industrials · CN · Market cap 5.9B CNY
Analysis
Shijiazhuang Tonhe Electronics Technologies Co (300491) currently trades at ¥42.42, while our model-based Fair Value estimate is ¥4.98 — implying the stock looks roughly 88.3% overvalued today. We read business quality at 93/100 (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
Shijiazhuang Tonhe Electronics Technologies Co.,Ltd. engages in the research and development, production, sale, and service of power electronics industry products in China and internationally. The company offers smart grid products, such as DC power system, AIDC data center DC power supply solution, communication power supply, distribution automation terminal power supply, fire power supply, uninterruptible power supply for AC, and lighting power supply. It also provides aerospace products, including module, component, inline, and high power supply; new energy vehicle products comprising charging module, charging and storage module, and supporting products; power supply, electrical control, integrated, accessories, and frequency converter. In addition, the company offers integrated energy storage cabinet for commercial and industrial use products, and commercial and industrial energy storage inverter energy storage products. Shijiazhuang Tonhe Electronics Technologies Co.,Ltd. was f…
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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.