Poly Union Chemical Holding (002037) Fair Value & Analysis
Basic Materials · CN · Market cap 3.3B CNY
Fair value as of: Jun 25, 2026
Analysis
Poly Union Chemical Holding (002037) currently trades at ¥6.67, while our model-based Fair Value estimate is ¥6.81 — implying the stock looks roughly 2.1% undervalued today. We read business quality at 88/100 (high quality), in the Basic Materials 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: low) — always confirm before acting.
About the company
Poly Union Chemical Holding Group Co., Ltd. engages in the research and development, design, blasting, production, sale, distribution, and engineering and technical service of civil explosive equipment products in China. It offers industrial explosives, detonators, detonating cords, and personalized civil explosive products. The company also engages in demolition works; transportation of dangerous goods and general cargo; and ecological protection and environmental management business, as well as provision of blasting technology development and technical consulting services. Its products are used in mining, water conservancy and hydropower, infrastructure construction, urban reconstruction and National defense construction, and other fields. Poly Union Chemical Holding Group Co., Ltd. was formerly known as Guizhou Jiulian Industrial Explosive Material Development Co., Ltd. and changed its name to Poly Union Chemical Holding Group Co., Ltd. in December 2019. The company was founded i…
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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.