Fairvalue-Calculator Fairvalue-Calculator
EN DE

Zhejiang Lianxiang Smart Home Co (603272) Fair Value & Analysis

Industrials · CN · Market cap 3.6B CNY

Price¥29.49
Fair Value¥15.71
Upside-46.7%
Quality95/100
Evidence: High Range ¥13.87 – ¥19.38

Fair value as of: Jun 24, 2026

Analysis

Zhejiang Lianxiang Smart Home Co (603272) currently trades at ¥29.49, while our model-based Fair Value estimate is ¥15.71 — implying the stock looks roughly 46.7% 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

Zhejiang Lianxiang Smart Home Co., LTD engages in the research and development, production, and sales of embroidery embroidered wallpaper in China. It offers embroidery, jacquard, printed wallpaper, digital printing wall coverings; and collar embroidered curtains under the LEADSHOW brand name. The company was founded in 2004 and is based in Jiaxing, China.

Open the full interactive analysis →

Similar stocks

Frequently asked questions

Is Zhejiang Lianxiang Smart Home Co (603272) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥15.71 versus a price of ¥29.49 — about −47% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 603272?
Our 21-model fair value for Zhejiang Lianxiang Smart Home Co is ¥15.71 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥29.49.
What is the quality score of 603272?
Zhejiang Lianxiang Smart Home 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.