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Wangli Security & Surveillance Product Co (605268) Fair Value & Analysis

Industrials · CN · Market cap 4.4B CNY

Price¥9.54
Fair Value¥7.72
Upside-19.1%
Quality94/100
Evidence: High Range ¥4.57 – ¥10.36

Fair value as of: Jun 24, 2026

Analysis

Wangli Security & Surveillance Product Co (605268) currently trades at ¥9.54, while our model-based Fair Value estimate is ¥7.72 — implying the stock looks roughly 19.1% overvalued today. We read business quality at 94/100 (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

Wangli Security & Surveillance Product Co., Ltd engages in the research, development, manufacture, sale, and service of security door locks in China and internationally. Its products include smart locks, wooden doors, doors and windows, smart homes, and other products, as well as engineering doors and robot safety doors. The company was founded in 1996 and is based in Yongkang, China.

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Frequently asked questions

Is Wangli Security & Surveillance Product Co (605268) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥7.72 versus a price of ¥9.54 — about −19% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 605268?
Our 21-model fair value for Wangli Security & Surveillance Product Co is ¥7.72 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥9.54.
What is the quality score of 605268?
Wangli Security & Surveillance Product Co 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.