Dagang Holding (300103) Fair Value & Analysis
Industrials · CN · Market cap 2.7B CNY
Fair value as of: Jun 24, 2026
Analysis
Dagang Holding (300103) currently trades at ¥8.35, while our model-based Fair Value estimate is ¥7.27 — implying the stock looks roughly 12.9% overvalued today. We read business quality at 89/100 (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: low).
About the company
Dagang Holding Group Co.,Ltd. engages in the research and development, manufacture, sale, and servicing of road construction and maintenance machineries and equipment in China. It offers pavement maintenance machines, including asphalt pavement maintenance trucks, pavement maintenance vehicles, binding agent spreaders, self-propelled road widening machines, crack sealing machines, asphalt crack sealing and spraying machines, and asphalt pavement cold in-place recyclers. The company also provides asphalt distributors; synchronous chip sealers; and self-propelled, lift-type, and pull-type chip spreaders. In addition, it offers micro-surfacing/slurry seal trucks and fiber micro-surfacing/slurry seal trucks. Further, the company provides asphalt material production equipment, liquid asphalt truck series, and gravel sprinkling equipment. Additionally, it undertakes general contracting of housing construction and municipal infrastructure projects. The company offers pre-sales, sales, and …
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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.