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Tus-Design Group (300500) Fair Value & Analysis

Industrials · CN · Market cap 1.8B CNY

Price¥9.69
Fair Value¥11.81
Upside+21.9%
Quality94/100
Evidence: High Range ¥10.53 – ¥16.24

Fair value as of: Jun 24, 2026

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Analysis

Tus-Design Group (300500) currently trades at ¥9.69, while our model-based Fair Value estimate is ¥11.81 — implying the stock looks roughly 21.9% undervalued today. We read business quality at 94/100 (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

Tus-Design Group Co., Ltd. offers design consultation services in China. It provides full-process consultation. The company also involved engineering construction management, dual-carbon new energy, urban renewal, and digital technology. The company was formerly known as Suzhou Institute of Architectural Design Co., Ltd. and changed its name to Tus-Design Group Co., Ltd. in March 2017. Tus-Design Group Co., Ltd. was founded in 1953 and is headquartered in Suzhou, China.

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Frequently asked questions

Is Tus-Design Group (300500) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥11.81 versus a price of ¥9.69 — about +22% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 300500?
Our 21-model fair value for Tus-Design Group is ¥11.81 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥9.69.
What is the quality score of 300500?
Tus-Design Group has a Quality Score of 94/100, 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.