Hangzhou Prevail Optoelectronic Equipment Co (300710) Fair Value & Analysis
Technology · CN · Market cap 4.1B CNY
Analysis
Hangzhou Prevail Optoelectronic Equipment Co (300710) currently trades at ¥34.92, while our model-based Fair Value estimate is ¥3.71 — implying the stock looks roughly 89.4% overvalued today. We read business quality at 89/100 (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: medium).
About the company
Hangzhou Prevail Optoelectronic Equipment Co., Ltd. engages in the research, development, and production of CATV equipment. It offers hybrid fiber coaxial (HFC) optical fiber transmission products, such as switches, as well as optical receivers, ports, amplifiers, transmitters, platforms, and optical nodes; optical fiber adapters and patch cords; and rack powers, enclosed, open-frames, adapters, and AC60V power supplies. The company also provides radio frequency (RF) equipment, which includes indoor and outdoor RF amplifiers, power supplies, taps and splitters, and coaxial filters and attenuators; PON network equipment; and digital TV equipment, including encoders and transcoders, receivers and adapters, IPTV server and android APKs, IPTV OTT, IPQAM and QAM modulators, and D-Mater 8000 platforms. In addition, it offers CATV bidirectional network access, optical transmission system, IP service access, digital TV systems, and network management solutions. The company exports approxima…
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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.