Shaanxi Construction Engineering Group (600248) Fair Value & Analysis
Industrials · CN · Market cap 11.3B CNY
Analysis
Shaanxi Construction Engineering Group (600248) currently trades at ¥2.91, while our model-based Fair Value estimate is ¥2.75 — implying the stock looks roughly 5.5% overvalued today. We read business quality at 93/100 (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
Shaanxi Construction Engineering Group Corporation Limited, through its subsidiaries, engages in the construction engineering business in China and internationally. It engages in the infrastructure activity of buildings, bridge buildings, hotels and commercial buildings, and cultural and sports buildings; public transportation engineering; underground space development; landscaping engineering; industrial construction; and environmental protection engineering and other fields. The company is also involved the foundation engineering, structure, roofing engineering, and decoration engineering construction; investment in land and real estate development; real estate management and acquisition; and architectural design business, as well as business of logistics, financial, prefabricated building, and new building material industries. The company was founded in 1950 and is based in Xi'an, China. Shaanxi Construction Engineering Group Corporation Limited is a subsidiary of Shaanxi Constru…
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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.