Guangxi Beitou Technology Company (600936) Fair Value & Analysis
Communication Services · CN · Market cap 8.2B CNY
Analysis
Guangxi Beitou Technology Company (600936) currently trades at ¥4.64, while our model-based Fair Value estimate is ¥2.03 — implying the stock looks roughly 56.3% overvalued today. We read business quality at 80/100 (high quality), in the Communication Services 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
Guangxi Beitou Technology Company Limited provides radio and television network services in China. The company offers television transmission services; digital TV value-added services, such as cable digital TV pay programs, high-definition digital TV and other services; and broadband two-way interactive services. It is also involved in construction and leasing of cable television network facilities, as well as provides information services such as 5G mobile communication services, broadband internet services, broadcasting and television network construction and operation, and dedicated data network services. In addition, the company engages in the telecommunications; private network business; smart broadcasting cloud; and big data businesses. The company was formerly known as Guangxi Radio and Television Information Network Corporation Limited and changed its name to Guangxi Beitou Technology Company Limited in January 2026. The company was incorporated in 2000 and is headquartered …
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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.