Miracle Automation Engineering Co. (002009) Fair Value & Analysis
Industrials · CN · Market cap 8.3B CNY
Analysis
Miracle Automation Engineering Co. (002009) currently trades at ¥20.52, while our model-based Fair Value estimate is ¥3.32 — implying the stock looks roughly 83.8% 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
Miracle Automation Engineering Co.Ltd provides intelligent equipment solutions and services in China and internationally. The company offers equipment for automobile manufacturing, intelligent storage, scrapped vehicle recycling, lithium battery recycling, new energy engineering, heavy industry manufacturing, and other industrial fields. It also provides consulting, design, manufacturing, installation, and intelligent maintenance services for automatic production system for automotive manufacturing, automatic storage, airport logistics, tyre manufacturing, machine tool manufacturing, power battery manufacturing, aviation manufacturing, etc. In addition, the company engages in the recycling and dismantling of scrapped and end of life vehicles; remanufacturing of core automobile parts and components; and recycling and dismantling of power batteries, step utilization, element recovery, etc. Further, it provides precision casting, precision processing, and integrated assembly services, …
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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.