Yealink Network Technology Co (300628) Fair Value & Analysis
Technology · CN · Market cap 42.1B CNY
Analysis
Yealink Network Technology Co (300628) currently trades at ¥33.62, while our model-based Fair Value estimate is ¥30.41 — implying the stock looks roughly 9.5% 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
Yealink Network Technology Co., Ltd., together with its subsidiaries, provides video conferencing, voice communications, and collaboration solutions in Europe, the Americas, and internationally. The company offers Microsoft and Zoom device products comprising Teams rooms systems, Zoom rooms systems, USB cameras and BYOD kits, space IOT devices, room audio devices, room system accessories, room mount kits and cables, teams phones, and zoom phones; headset products consisting of Bluetooth and DECT wireless headsets, wired headsets, speakerphones, headset accessories, and headset selectors; IP phone products, such as team phones, zoom phones, conference phones, DECT phones, Wi-Fi IP phones, 4G phones, and phone accessories; management platforms comprising device management platforms, management cloud services, and USB connect management services; and EoS and EoL products. It also provides finance, education, healthcare, and manufacturing solutions; future workers, headset and handset, …
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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.