Beijing StarNeto Technology Co (002829) Fair Value & Analysis
Technology · CN · Market cap 4.1B CNY
Analysis
Beijing StarNeto Technology Co (002829) currently trades at ¥18.66, while our model-based Fair Value estimate is ¥22.74 — implying the stock looks roughly 21.9% undervalued today. We read business quality at 88/100 (high quality), in the Technology 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
Beijing StarNeto Technology Co., Ltd. engages in the research, development, production, and sale of intelligent unmanned systems and components in China. The company operates in four segments: Inertial Integrated Navigation, Mobile Satellite Communication, Passive Electronic Countermeasures, and Intelligent Unmanned Systems. It offers unmanned systems, including drones, self-driving cars, and unmanned ships; and inertial navigation systems, such as fiber optic and MEMS combination, inertial perception, satellite positioning, and attitude measurement. The company also provides satellite communication systems comprising vehicle-mounted and airborne mobile communication, shipborne mobility, and portable communication station; and optical servo systems, which include airborne pod, vehicle/ship-mounted optoelectronic turret, and servo stabilized platform. It serves military training, satellite communications, intelligent detection, and unmanned industries. The company was founded in 2005…
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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.