China Resources Building Materials Technology Holdings (CJRCF) Fair Value & Analysis
Basic Materials · US · Market cap $1.4B
Analysis
China Resources Building Materials Technology Holdings (CJRCF) currently trades at $0.1870, while our model-based Fair Value estimate is $0.1700 — implying the stock looks roughly 9.1% overvalued today. We read business quality at 92/100 (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
China Resources Building Materials Technology Holdings Limited, an investment holding company, manufactures and sells cement, concrete, aggregates, and related products and services in Mainland China. It operates through Cement, Concrete, and Aggregates and Others segments. The company also manufactures and sells engineered stones, natural stones, and other products. In addition, it engages in the excavation of limestone; and production, sale, and distribution of cement, clinker, and concrete. Further, the company is involved in the manufacture and sale of prefabricated construction materials; environmental protection engineering activities; mining of aggregates; trading of construction materials and steel pipes; property holding; marine transportation; warehouse management and fuel supply; and provision of building materials testing and consultancy services. Its products are used in the construction of infrastructure projects, such as railways, highways, subways, bridges, airports,…
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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.