BGRIMM Technology Co (600980) Fair Value & Analysis
Basic Materials · CN · Market cap 4.1B CNY
Analysis
BGRIMM Technology Co (600980) currently trades at ¥21.80, while our model-based Fair Value estimate is ¥10.74 — implying the stock looks roughly 50.7% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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
BGRIMM Technology Co., Ltd., through its subsidiaries, engages in the research, development, production, and sale of mining and metallurgical equipment in the People's Republic of China and internationally. It operates through Mining and Metallurgy Equipment and Magnetic Material segments. The company offers mining and metallurgical equipment comprising flotation equipment, magnetic separation equipment, grinding equipment, stirring tanks, mineral processing auxiliary equipment, automatic zinc stripping units, metallurgical leaching tanks, thickeners, zinc melting induction furnaces, submerged arc furnaces, heat storage furnaces, ingot production lines, solid waste resource utilization and harmless treatment processes and equipment, and energy-saving and environmental protection equipment. It also provides related automatic control, technical consulting and services, and engineering contracting. In addition, the company offers magnetic material products, such as sintered permanent 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.