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Beijing Tianma Intelligent Control Technology CO., LTD. (688570) Fair Value & Analysis

Industrials · CN · Market cap 6.8B CNY

Price¥15.06
Fair Value¥7.99
Upside-46.9%
Quality95/100
Evidence: High Range ¥7.35 – ¥8.63

Analysis

Beijing Tianma Intelligent Control Technology CO., LTD. (688570) currently trades at ¥15.06, while our model-based Fair Value estimate is ¥7.99 — implying the stock looks roughly 46.9% 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

Beijing Tianma Intelligent Control Technology CO., LTD. engages in the research and development, production, sale, and service of unmanned intelligent mining control technology and equipment for coal mines in China. The company offers SAM-type automated mining control systems; SAC type hydraulic support electro-hydraulic control systems; and SAP-type intelligent integrated liquid supply systems. It also provides control systems, fluid supply equipment, and precise position and posture control systems for fully mechanized mining equipment; spare parts; operation and maintenance services; and solutions and equipment for the construction needs of intelligent factories in discrete manufacturing industries. Beijing Tianma Intelligent Control Technology CO., LTD. was founded in 2001 and is based in Beijing, China.

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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.