Chongqing Changjiang River Moulding Material (Group) Co (001296) Fair Value & Analysis
Industrials · CN · Market cap 2.9B CNY
Fair value as of: Jun 25, 2026
Analysis
Chongqing Changjiang River Moulding Material (Group) Co (001296) currently trades at ¥22.62, while our model-based Fair Value estimate is ¥13.45 — implying the stock looks roughly 40.5% overvalued today. We read business quality at 94/100 (high quality), in the Industrials 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
Chongqing Changjiang River Moulding Material (Group) Co., Ltd. engages in research, development, production, and sales of silica sand, coated sand, and sand cores for casting. It is also involved in research, development, and production of foundry waste (old) sand regeneration technology and equipment for production of parts for automobiles, motorcycles, high-speed rail, agricultural machinery, engineering machinery, and other industries. The company engages in producing auxiliary materials for the foundry industry and manufacturing proppant for the oil and gas industry. In addition, the company offers CCITEK, a series of green inorganic foundry materials, including binder, sand, mold, coremaking system, sand mixer and sand delivery system, regeneration system, and core storage system, as well as the standards of binder, core sand, and recycled sand. Chongqing Changjiang River Moulding Material (Group) Co., Ltd. was founded in 1979 and is headquartered in Chongqing, 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.