Guangdong Dongfang Precision Science & Technology Co (002611) Fair Value & Analysis
Industrials · CN · Market cap 22.5B CNY
Analysis
Guangdong Dongfang Precision Science & Technology Co (002611) currently trades at ¥18.41, while our model-based Fair Value estimate is ¥11.02 — implying the stock looks roughly 40.1% overvalued today. We read business quality at 91/100 (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
Guangdong Dongfang Precision Science & Technology Co., Ltd., together with its subsidiaries, engages in the research, development, production, and sale of corrugated packaging equipment in China and internationally. The company offers corrugated cardboard production lines; corrugated cardboard box printing and packaging equipment, such as top-printing and bottom-printing, feeding, slotting, die cutting, box forming machines; industry smart factory solutions, including intelligent factory layout planning and design, intelligent logistics and warehousing solutions, and industrial internet platform services; digital printing equipment; and marine power equipment, consisting of outboard motors used in water recreation and sports, fishing, water transportation, emergency rescue, coastal service, maritime patrol, and other fields. It is also involved in investment and trading activities. The company exports its products. Guangdong Dongfang Precision Science & Technology Co., Ltd. was foun…
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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.