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Chongqing Sifang New Material Co (605122) Fair Value & Analysis

Basic Materials · CN · Market cap 2.1B CNY

Price¥11.67
Fair Value¥8.45
Upside-27.6%
Quality95/100
Evidence: Medium Range ¥5.75 – ¥11.15

Fair value as of: Jun 24, 2026

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Analysis

Chongqing Sifang New Material Co (605122) currently trades at ¥11.67, while our model-based Fair Value estimate is ¥8.45 — implying the stock looks roughly 27.6% overvalued today. We read business quality at 95/100 (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: medium).

About the company

Chongqing Sifang New Material Co., Ltd. engages in the research and development, production, and sale of commercial concrete primarily in China. It also produces sand and gravel aggregates for construction industry. In addition, the company offers wet mix mortars, asphalt concrete, water-stabilizing layer products, and prefabricated building components. Its products are used in real estate development and infrastructure construction, including roads, bridges, tunnels, and water conservancy. The company was incorporated in 2003 is based in Chongqing, China.

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Frequently asked questions

Is Chongqing Sifang New Material Co (605122) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥8.45 versus a price of ¥11.67 — about −28% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 605122?
Our 21-model fair value for Chongqing Sifang New Material Co is ¥8.45 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥11.67.
What is the quality score of 605122?
Chongqing Sifang New Material Co has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.