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Beijing WBD New Materials Group (300055) Fair Value & Analysis

Utilities · CN · Market cap 6.6B CNY

Price¥7.52
Fair Value¥10.48
Upside+39.4%
Quality89/100
Evidence: Low Range ¥7.86 – ¥13.10

Analysis

Beijing WBD New Materials Group (300055) currently trades at ¥7.52, while our model-based Fair Value estimate is ¥10.48 — implying the stock looks roughly 39.4% undervalued today. We read business quality at 89/100 (high quality), in the Utilities 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

Beijing WBD New Materials Group Co., Ltd. engages in water engineering and operation, hazardous and solid waste treatment, environmental protection, and equipment manufacturing businesses in China. It operates through four segments: Industrial Water Treatment, Waste Treatment Services, Financial Investment, and Chemical Materials. The company also offers isoprene, m-prene, dicyclopentadiene, carbon pentapet resin, and mixed xylene, which are used in rubber, elastomers, hot-melt adhesives, road sign paints, tires, pesticides and pharmaceutical intermediates, and other terminal application fields. It serves large and medium-sized state-owned enterprises. The company was formerly known as Beijing Water Business Doctor Co., Ltd. and changed its name to Beijing WBD New Materials Group Co., Ltd. in May 2026. The company was founded in 1998 and is headquartered in Beijing, China.

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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.