Shenzhen Tagen Group (000090) Fair Value & Analysis
Industrials · CN · Market cap 6.8B CNY
Analysis
Shenzhen Tagen Group (000090) currently trades at ¥3.33, while our model-based Fair Value estimate is ¥6.97 — implying the stock looks roughly 109.3% undervalued today. We read business quality at 91/100 (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
Shenzhen Tagen Group Co., Ltd. primarily engages in the urban construction, comprehensive development, and urban service businesses in China. The company's urban construction business includes municipal roads, municipal pipe networks, bridges and tunnels, and other urban infrastructure; water environment, landscaping, street lights, highways, and other projects; industrial and civil construction projects, earthwork, foundation and foundation engineering, and other construction projects; and rail transit projects and other fields. It also develops real estate projects, including mid-to-high-end residences, affordable housing, office buildings, hotels, urban complexes, industrial parks, etc. In addition, the company provides engineering construction, property management and leasing, and commercial operations and services; and urban infrastructure management and maintenance services, first-level land preparation services, commercial operation services, property services, etc. Further, …
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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.