Changsha Jingjia Microelectronics Co (300474) Fair Value & Analysis
Technology · CN · Market cap 28.1B CNY
Analysis
Changsha Jingjia Microelectronics Co (300474) currently trades at ¥55.11, while our model-based Fair Value estimate is ¥39.48 — implying the stock looks roughly 28.4% overvalued today. We read business quality at 90/100 (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
Changsha Jingjia Microelectronics Co., Ltd., together with its subsidiaries, engages in the research, development, production, and sale of electronic products in China. The company offers integrated circuit design and graphics processing unit chips; display control and signal processing; computing and storage; broadband self-organizing network; miniaturized radar, including airborne composite warning, portable UAV detection, doppler navigation, ultra-short-range active defense detection, and projectile muzzle velocity measurement radars; and electromagnetic spectrum products, such as jamming devices, communication signal environment simulation equipment, intelligent telegraph training equipment, wireless telegraph simulation training systems, and integrated training and evaluation acquisition equipment. It also provides technical and after-sales services. The company was founded in 2006 and is based in Changsha, China.
Open the full interactive analysis →
Similar stocks
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.