Hangzhou EZVIZ Network Co (688475) Fair Value & Analysis
Technology · CN · Market cap 20.9B CNY
Analysis
Hangzhou EZVIZ Network Co (688475) currently trades at ¥27.00, while our model-based Fair Value estimate is ¥14.83 — implying the stock looks roughly 45.1% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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 EZVIZ Network Co., Ltd. engages in the manufacture and sale of smart home products in China and internationally. The company provides security cameras, including wire-free, indoor and outdoor Wi-Fi, 4G security, and PoE cameras, as well as accessories comprising solar charging panels, solar panels, battery solar panels, power partners, PoE splitter, X5S, transformers, wall mount brackets, and microSD cards. It also offers smart home products, such as smart doorbells, video door phones, door viewers, locks, and gate openers; wet and dry vacuum cleaners, robot vacuums, robotic lawn mowers, and vacuum accessories; home energy management systems, portable power stations, security light cameras, smart controls, and networks; and home sensors. In addition, the company offers EZVIZ CloudPlay, a video storage platform. It sells its products through e-commerce platforms. Hangzhou EZVIZ Network Co., Ltd. was founded in 2013 and is based in Hangzhou, China.
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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.