Guoguang Electric Co (688776) Fair Value & Analysis
Industrials · CN · Market cap 6.5B CNY
Analysis
Guoguang Electric Co (688776) currently trades at ¥59.51, while our model-based Fair Value estimate is ¥72.54 — implying the stock looks roughly 21.9% undervalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
Guoguang Electric Co.,Ltd.Chengdu engages in the research and development, production, and sale of microwave devices in China and internationally. It offers microwave electric vacuum devices, such as traveling wave tubes, magnetrons, and traveling wave tubes; microwave energy application equipment; vacuum contactors; cathode components and magnetic materials; vacuum contactor arc extinguishing chambers; vacuum equipment and leak detection; vacuum components comprising direct drive vacuum and molecular pumps, accessories, and valves; aircraft galley equipment consisting of food carts, airborne kitchen equipment, and other strollers; microwave instruments, power source, and application equipment. The company also provides vacuum gauges, including resistance, piezoresistive, thermocouple, thermionic, cold cathode ionization, composite, filament thermocouple, short filament thermocouple, thermocathode ionization, and thermionic cathode ultra-high vacuum gauges, as well as vacuum transmi…
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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.