Beijing New Building Materials Public Limited (000786) Fair Value & Analysis
Industrials · CN · Market cap 35.6B CNY
Analysis
Beijing New Building Materials Public Limited (000786) currently trades at ¥19.51, while our model-based Fair Value estimate is ¥32.69 — implying the stock looks roughly 67.6% undervalued today. We read business quality at 90/100 (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: medium) — always confirm before acting.
About the company
Beijing New Building Materials Public Limited Company, together with its subsidiaries, manufactures and sells building materials in China. It operates through Light Building Material, Water-Proof Building Material, and Coatings and Building Material divisions. The company offers gypsum board products, such as fire-resistant, water-resistant, formaldehyde-removal, anti-cracking and anti-sagging, perforated, and phase-change gypsum boards; multifunctional, mineral wool, and fiber cement boards; light steel and T-grid studs; internal and exterior paintings; joint compound gypsum, binders, leveling putty, putty powder, and self-leveling gypsum; insulating materials, such as rock wool board and felt, and granulated wool; waterproof materials; flooring products, including commercial heterogeneous vinyl sheets, special and sports flooring, vinyl planks, homogeneous vinyl flooring, and ninyl composition tiles; and ceiling and partition accessories, as well as special tools, keels, and archi…
Open the full interactive analysis →
Similar stocks
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.