China Design Group (603018) Fair Value & Analysis
Industrials · CN · Market cap 4.7B CNY
Analysis
China Design Group (603018) currently trades at ¥6.56, while our model-based Fair Value estimate is ¥8.42 — implying the stock looks roughly 28.4% undervalued today. We read business quality at 94/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
China Design Group Co., Ltd., together with its subsidiaries, provides engineering survey and design services in China. The company offers engineering consulting services, including survey and design, planning research, and engineering management; and system integration and software development services. It also engages in strategic and urban planning; highway; urban expressway; bridges and tunnels; waterways and ports; hydraulics; architecture and landscape; railway; metro; smart industry; engineering, procurement, and construction; survey; environmental; innovation; and agriculture businesses. In addition, the company engages in system development tools; investment management; sale of merchandise and food; printing services; project consultancy; new material technology promotion; commodity circulation; property management and leasing; agricultural production; business technology research and development, and operation management; and engineering technology research and experimenta…
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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.