Doright Co (300950) Fair Value & Analysis
Industrials · CN · Market cap 2.8B CNY
Fair value as of: Jun 24, 2026
Analysis
Doright Co (300950) currently trades at ¥17.30, while our model-based Fair Value estimate is ¥12.58 — implying the stock looks roughly 27.3% 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
Doright Co.,Ltd. engages in the design, research and development, manufacture, inspection, sale, and servicing of energy-saving environmental protection equipment in China. The company's products include energy-saving heat exchange equipment, including heat exchangers, high-temperature air preheater, waste heat boiler, rotary dryer, new energy saving type ceramic fiber fire box, and quench boiler; cryogenic heat exchanger with pin-tube type, reactors, atmospheric pressure vessels and tanks, and tower piece; and powder and exhaust environmental protection equipment, including harrow dryer, carbon black feeder, pin tube heat exchanger, installation and maintenance of pressure pipelines, wet pelletizer, dry pelletizer, pigment pelletizer, and rotary dryer. It also provides clean combustion, heat transfer, and energy-saving solutions for customers in chemical, energy, metallurgy, and solid waste treatment industries. The company also exports its products to Asia, Europe, North America, …
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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.