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Hangzhou IECHO Science&Technology Co (688092) Fair Value & Analysis

Industrials · CN · Market cap 1.9B CNY

Price¥22.38
Fair Value¥12.93
Upside-42.2%
Quality95/100
Evidence: High Range ¥9.84 – ¥16.17

Fair value as of: Jun 24, 2026

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Analysis

Hangzhou IECHO Science&Technology Co (688092) currently trades at ¥22.38, while our model-based Fair Value estimate is ¥12.93 — implying the stock looks roughly 42.2% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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

Hangzhou IECHO Science&Technology Co., Ltd. manufactures and sells intelligent cutting CNC industrial software systems in China. The company offers knife cutting, laser cutting, and die cutting machine. It also offers IBrightCut, a cutting software for the advertising sector; IMulCut, a Multi-layer cutting machine for garment and furniture industries; and IPlyCut, a cutting software used for interior, furniture, textile, and garment sectors. The company was founded in 1994 and is based in Hangzhou, China.

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Frequently asked questions

Is Hangzhou IECHO Science&Technology Co (688092) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥12.93 versus a price of ¥22.38 — about −42% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 688092?
Our 21-model fair value for Hangzhou IECHO Science&Technology Co is ¥12.93 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥22.38.
What is the quality score of 688092?
Hangzhou IECHO Science&Technology 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.