Great Microwave Technology Co (688270) Fair Value & Analysis
Technology · CN · Market cap 23.3B CNY
Analysis
Great Microwave Technology Co (688270) currently trades at ¥80.20, while our model-based Fair Value estimate is ¥12.45 — implying the stock looks roughly 84.5% 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
Great Microwave Technology Co., Ltd. engages in the research and development, production, and sale of integrated circuit chips and microsystems in China. The company offers terminal radio frequency (RF) front-end chips, including terminal power amplifiers, low-noise amplifiers, and RF switches for use in wireless communication terminals, such as ad hoc networks, radios, digital intercoms, and navigation. It also provides Microsystems and modules that used in various phased array payload systems comprising spaceborne, ground-based, vehicle-mounted, and shipborne systems; and RF chips, microsystems, and modules for communications and radar industries. In addition, the company offers RF transceiver chips and ADC/DAC chips used in digital phased array systems, mobile communication systems, satellite internet, and other wireless communication terminals and communication radar systems, as well as power chips. It also provides technical services. The company was founded in 2015 and is head…
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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.