Zhejiang Dahua Technology Co (002236) Fair Value & Analysis
Industrials · CN · Market cap 55.3B CNY
Analysis
Zhejiang Dahua Technology Co (002236) currently trades at ¥16.50, while our model-based Fair Value estimate is ¥23.58 — implying the stock looks roughly 42.9% undervalued today. We read business quality at 93/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Zhejiang Dahua Technology Co., Ltd. provides and operates video-centric IoT solutions. It offers network, high-definition composite video interface (HDCVI), PT, PTZ, thermal, explosion-proof, and anti-corrosion cameras; IP storage products; network and HDCVI recorders; video intercoms; and access control products, including modules, turnstiles, accessories, AI, and time attendance solutions. The company also provides alarms; fire alarm; intelligent traffic and smart parking; EV charger; mobile, MPT, and dash camera; transmission; display and control; interactive whiteboards; video conferencing; video server, video surveillance server, and video device; metal detector, security screening machine, bollard, ESL, EAS, and software; and camera accessories, power, cabling, detector, and solar power. In addition, it offers internal SSD, memory card, USB flash drives, external storage, memory module, and DRAM; HDCVI kit; drone; audio and sensing; and project exclusive products. It provides …
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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.