Dongguan Tarry Electronics Co (300976) Fair Value & Analysis
Industrials · CN · Market cap 16.4B CNY
Analysis
Dongguan Tarry Electronics Co (300976) currently trades at ¥90.60, while our model-based Fair Value estimate is ¥31.66 — implying the stock looks roughly 65.1% 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
Dongguan Tarry Electronics Co.,Ltd. Engages in the research, development, production and sales of power battery components; and related 3C and semiconductor intelligent assembly automation equipment in China and internationally. The company offers FPC modules, Mobile phone screen modules, tablet module, In-vehicle display modules, energy storage battery, industrial power supply, photovoltaic inverter, headphone module, and others; earphones box, headwear, earmuffs, VR box and face mask, speaker cover, tablet stand, mobile phone battery cover, braided watch strap; and hard copper busbar, extruded copper busbar, shielding cover, hard aluminum bar, upset aluminum bar, soft copper busbar, three-phase side cover, car door locks, plastic-coated copper busbar, headlight radiator, automotive step lights, automotive flexible and rigid welded copper busbar, plastic-coated copper wire, automotive noise reduction covers, and power cover. It also provides precision tray mounting machine, multifu…
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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.