Zhejiang Construction Investment Group (002761) Fair Value & Analysis
Industrials · CN · Market cap 9.8B CNY
Analysis
Zhejiang Construction Investment Group (002761) currently trades at ¥7.16, while our model-based Fair Value estimate is ¥10.00 — implying the stock looks roughly 39.7% 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
Zhejiang Construction Investment Group Co.,Ltd engages in the construction business in China. The company operates through the Building Construction, Industrial Manufacturing, Other Engineering Related, and Other segments. It is involved in construction activities, including housing construction, municipal roads and bridges, rail transit, water conservancy and hydropower, equipment installation, decoration and renovation, and other construction businesses. The company also provides engineering design services, such as planning, design, and consulting services, as well as design-led engineering general contracting services. In addition, it designs, manufactures, sells, leases, installs, transforms, and maintains prefabricated subway segments, concrete, engineering machinery, power construction machinery, and pressure vessels. The company was formerly known as Dohia Group Co., Ltd and changed its name to Zhejiang Construction Investment Group Co.,Ltd in June 2021. Zhejiang Constructio…
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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.