Shanghai Trendzone Holdings (603030) Fair Value & Analysis
Industrials · CN · Market cap 2.9B CNY
Fair value as of: Jun 24, 2026
Analysis
Shanghai Trendzone Holdings (603030) currently trades at ¥2.18, while our model-based Fair Value estimate is ¥2.38 — implying the stock looks roughly 9.2% 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: low) — always confirm before acting.
About the company
Shanghai Trendzone Holdings Group Co.,Ltd, together with its subsidiaries, provides integrated solutions across design, construction, production, and services in China and internationally. The company offers consulting; urban development and renewal solutions; one-stop headquarters technology park construction; innovation ecosystem planning; smart construction platform; green and sustainable development; full lifecycle management; and city information modeling (cim) platform integration. It also provides smart wellness and elderly care, smart living environment design and renovation; health monitoring and management system; personalized care; and smart health and wellness community construction, as well as high-end residences, affordable housing, cultural and artistic real estate, office real estate, real estate supporting the event, high-end hotels and commercial complexes, green buildings and senior living communities, intelligent exhibition center, shared communities and talent a…
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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.