Beijing Oriental Yuhong Waterproof Technology Co (002271) Fair Value & Analysis
Basic Materials · CN · Market cap 30.5B CNY
Analysis
Beijing Oriental Yuhong Waterproof Technology Co (002271) currently trades at ¥12.44, while our model-based Fair Value estimate is ¥11.60 — implying the stock looks roughly 6.8% overvalued today. We read business quality at 94/100 (high quality), in the Basic Materials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Beijing Oriental Yuhong Waterproof Technology Co., Ltd., together with its subsidiaries, engages in the production and sale of waterproof membranes and coatings in China, Hong Kong, Macau, and internationally. The company offers flow technology solutions, construction raw materials, polyester reinforcing fabric materials, inorganic non-metallic materials, waterproofing materials, specialty films, insulation materials, architectural coatings, building renovation, and vocational skills training. It also provides waterproof membranes, coatings, mortars, sealants, and waterstops under the YUHONG brand name; and fine sand, premium manufactured sand, specialty mortars, white cement, calcium carbonate, wall putty, and gypsum-based mortar products under the VASA brand name. In additions, the company offers engineering and retail system solutions; and tile and stone installation, wall coating, thermal insulation bonding, floor leveling, and infrastructure maintenance system solutions. The co…
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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.