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GreenTech Environmental Co (688466) Fair Value & Analysis

Utilities · CN · Market cap 1.8B CNY

Price¥14.26
Fair Value¥7.10
Upside-50.2%
Quality92/100
Evidence: High Range ¥4.80 – ¥8.91

Fair value as of: Jun 24, 2026

Analysis

GreenTech Environmental Co (688466) currently trades at ¥14.26, while our model-based Fair Value estimate is ¥7.10 — implying the stock looks roughly 50.2% overvalued today. We read business quality at 92/100 (high quality), in the Utilities 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

GreenTech Environmental Co., Ltd. engages in the water treatment and waste-to-resources projects in the People's Republic of China. It focuses on engineering, construction, operation, management, and finance of projects in the areas of wastewater treatment and upgradation, and water environment using membrane technologies. The company was founded in 2004 and is based in Beijing, the People's Republic of China.

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Frequently asked questions

Is GreenTech Environmental Co (688466) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥7.10 versus a price of ¥14.26 — about −50% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 688466?
Our 21-model fair value for GreenTech Environmental Co is ¥7.10 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥14.26.
What is the quality score of 688466?
GreenTech Environmental Co has a Quality Score of 92/100, 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.