Changjiang & Jinggong Steel Building (Group) Co (600496) Fair Value & Analysis
Industrials · CN · Market cap 7.6B CNY
Analysis
Changjiang & Jinggong Steel Building (Group) Co (600496) currently trades at ¥3.39, while our model-based Fair Value estimate is ¥6.38 — implying the stock looks roughly 88.2% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Changjiang & Jinggong Steel Building (Group) Co., Ltd designs, manufactures, constructs, and installs steel structures in China and internationally. It offers building product system include non-standard products, such as personalized customized products for airports, high-speed rail stations, stadiums, exhibition centers, theaters, etc.; standard products, such as prefabricated building products for schools, hospitals, office industrial parks, etc.; and residential products for houses and apartments. The company also provides Industrial products for industrial plants, extended logistics centers, storage cold storage, garbage incineration stations, etc., as well as light and high-rise steel structures, wall materials, and other products. In addition, it is involved in technical services and trade import and export; industrial trade and investment; leasing and consulting; engineering construction, and architectural engineering design businesses. Changjiang & Jinggong Steel Building (…
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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.