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Keeson Technology Corporation (603610) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 6.1B CNY

Price¥19.18
Fair Value¥6.57
Upside-65.7%
Quality95/100
Evidence: High Range ¥6.57 – ¥8.26

Fair value as of: Jun 24, 2026

Analysis

Keeson Technology Corporation (603610) currently trades at ¥19.18, while our model-based Fair Value estimate is ¥6.57 — implying the stock looks roughly 65.7% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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

Keeson Technology Corporation Limited researches and develops, produces, and sells smart electric beds and memory foam home products in China. It offers intelligent electric beds, bed frames and beddings, mattresses, accessories, and other products. Keeson Technology Corporation Limited was founded in 2005 and is headquartered in Jiaxing, China.

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Frequently asked questions

Is Keeson Technology Corporation (603610) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥6.57 versus a price of ¥19.18 — about −66% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 603610?
Our 21-model fair value for Keeson Technology Corporation is ¥6.57 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥19.18.
What is the quality score of 603610?
Keeson Technology Corporation 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.