Ongoal Technology Co (301662) Fair Value & Analysis
Industrials · CN · Market cap 11.9B CNY
Analysis
Ongoal Technology Co (301662) currently trades at ¥110.41, while our model-based Fair Value estimate is ¥19.22 — implying the stock looks roughly 82.6% 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
Ongoal Technology Co., Ltd., together with its subsidiaries, engages in the research, development, production, and sale of material automation processing production lines and equipment in China and internationally. The company offers dual planetary mixer, slurry mixing system, twin-screw continuous slurry mixer, ribbon mixer, ploughshare mixer, rod-pin bead mill, fully automatic big bag unloading and unpacking machine, automatic small bag unloading machine, layer by layer debagging machine, big bag packing machine, small and big bag unloading stations, jet mill, low speed kettle dryer, paddle mixer, semi-auto iron remover, high gravity material dispense mixer, multi-components suction and weighing scale, and IBC rotary mixer. It also provides material handlings systems, including mixing and drying, slurry mixing, intelligent control, dust collecting, packing, metering and dosing, pneumatic conveying, storage and arch breaking, unpacking and feeding, and dispersion grinding. The comp…
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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.