Uroica Precision Information Engineering Co (300099) Fair Value & Analysis
Industrials · CN · Market cap 5.8B CNY
Analysis
Uroica Precision Information Engineering Co (300099) currently trades at ¥6.93, while our model-based Fair Value estimate is ¥4.23 — implying the stock looks roughly 39.0% 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
Uroica Precision Information Engineering Co.,Ltd. provides underground transportation and communication, and mining robot businesses in China and internationally. It operates through Smart Mine; Defense and Military Industry; and Other segments. The company's products include coal mine roof and rock burst safety monitoring systems, mining intelligent monorail transportation systems, and smart mining products. It also provides explosion-proof diesel engine monorail locomotive; new energy monorail crane; locomotive automatic driving system; explosion-proof diesel engine tracked transport vehicle; hydraulic motor lifting beam; thin beam for support transport; coal mine roof dynamic monitoring and early warning system; mine pressure GIS management platform; mine pressure safety cloud terminal; coal mine roof wireless monitoring system; rockburst sound monitoring system; coal mine rockburst monitoring system; mine pressure monitoring network platform; remote and wireless remote control l…
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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.