China Haisum Engineering Co (002116) Fair Value & Analysis
Industrials · CN · Market cap 4.2B CNY
Analysis
China Haisum Engineering Co (002116) currently trades at ¥7.27, while our model-based Fair Value estimate is ¥13.75 — implying the stock looks roughly 89.1% undervalued today. We read business quality at 95/100 (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 Haisum Engineering Co., Ltd. engages in the engineering EPC, engineering design, consultation, and supervision services in China. It provides general contracting and project management services; and engineering design services in various fields comprising civil construction, pulp and paper making, beverage and brew, food, dairy, sugar, tobacco, cigarette, grain, oil, fruit, vegetable, meat processing, frozen and fresh, cosmetics, essence and perfume, plastic product, sensitive material, chemical and chemical fiber, daily-use chemical, biological, pharmaceutical, household electrical appliance, packaging, printing, electron product and electrical equipment, new building material, machinery manufacture, domestic machinery, and automobile parts and accessories, metal processing fields, as well as to store and logistics, hypermarkets, research and development centers, public utilities, and other projects. The company also offers engineering project consultation services in various…
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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.