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Shanghai Tianchen Co (600620) Fair Value & Analysis

Real Estate · CN · Market cap 3.0B CNY

Price¥4.07
Fair Value¥0.8300
Upside-79.6%
Quality95/100
Evidence: High Range ¥0.6700 – ¥0.9800

Fair value as of: Jun 26, 2026

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Analysis

Shanghai Tianchen Co (600620) currently trades at ¥4.07, while our model-based Fair Value estimate is ¥0.8300 — implying the stock looks roughly 79.6% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate 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

Shanghai Tianchen Co.,Ltd, together with its subsidiaries, provides taxi passenger transportation services in China. It also engages in real estate decoration business; sales and construction of tianchen health city project; and property management business. The company sells and leases real estate properties. Shanghai Tianchen Co.,Ltd was formerly known as Shanghai Union Agricultural Co., Ltd. The company was founded in 1992 and is based in Shanghai, China.

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Frequently asked questions

Is Shanghai Tianchen Co (600620) undervalued?
As of Jun 26, 2026, our model estimates a fair value of ¥0.8300 versus a price of ¥4.07 — about −80% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 600620?
Our 21-model fair value for Shanghai Tianchen Co is ¥0.8300 (as of Jun 26, 2026), built from audited fundamentals. The current price is ¥4.07.
What is the quality score of 600620?
Shanghai Tianchen Co has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.