TangshanJidong Equipment and Engineering Co (000856) Fair Value & Analysis
Industrials · CN · Market cap 1.8B CNY
Fair value as of: Jun 25, 2026
Analysis
TangshanJidong Equipment and Engineering Co (000856) currently trades at ¥7.86, while our model-based Fair Value estimate is ¥1.96 — implying the stock looks roughly 75.1% overvalued today. We read business quality at 94/100 (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
TangshanJidong Equipment and Engineering Co.,Ltd., together with its subsidiaries, manufactures and sells cement equipment in China and internationally. The company offers mechanical equipment and spare parts, including vertical mills, rotary kilns, grate coolers, stackers, reclaimers, and other cement machinery and equipment; mobile crushers, stationary crushers, and other mining equipment; solid waste and hazardous waste disposal equipment; and machinery spare parts, etc. It also engages in the civil engineering installation business, such as engineering construction of industrial buildings and civil buildings, mining projects, and mechanical and electrical equipment installation, etc. In addition, the company offers maintenance engineering services comprising cement production line maintenance, kiln construction, medium-voltage switchgear, technical transformation and measures, and other services; electrical control cabinets, automation equipment and electrical spare parts, and s…
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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.