Hangxiao Steel Structure Co (600477) Fair Value & Analysis
Basic Materials · CN · Market cap 6.1B CNY
Analysis
Hangxiao Steel Structure Co (600477) currently trades at ¥2.50, while our model-based Fair Value estimate is ¥1.04 — implying the stock looks roughly 58.4% 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
Hangxiao Steel Structure Co., Ltd., together with its subsidiaries, engages in the steel structure business in China and internationally. It offers steel structural components and building panels; and integrated buildings system solutions, including technical consulting, engineering design, scheme customization, manufacturing, and installation. The company also provides prefabricated building EPC general contracting services for multi-story and high-rise steel structure buildings, light steel structures, spatial steel structure buildings, and steel structure residences; and architectural design. In addition, it is involved in steel trading; wholesale and retail of building materials; IoT technology research and development and services; hotel and property management; manufacturing and sale of photovoltaic equipment and components; and construction labor subcontracting. The company's products are used in office buildings, large factories, residences, hospitals, schools, stadiums, con…
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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.