Suzhou Keda Technology Co (603660) Fair Value & Analysis
Technology · CN · Market cap 6.4B CNY
Fair value as of: Jun 24, 2026
Analysis
Suzhou Keda Technology Co (603660) currently trades at ¥13.20, while our model-based Fair Value estimate is ¥4.61 — implying the stock looks roughly 65.1% 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: low).
About the company
Suzhou Keda Technology Co.,Ltd engages in the video application integrated service business in China. The company offers Intelligent Camera, Falcon human recognition system, and face recognition terminal; commercial, professional, and TU series NVR, as well as border collie iNVR; cameras, such as box, IR bullet, semi dome, fisheye and pinhole, speed dome, explosion proof, PTZ, and TU series; and embedded and software VMS. It also provides vehicle and portable mobile; encoder and decoder; gateway and streaming media server; IP SAN and private cloud storage systems; and LED and LCD displays, and splicing processor. In addition, the company offers video conference platforms, including MCU, TV wall server, and multimedia server; all-in-one terminal, software terminal, rack mount terminal, and smart meeting board; and peripheral devices comprising camera, microphone, and wireless presentation sender. Further, it provides Zen series smart meeting board, vehicle solutions, new generation a…
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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.