Guangdong Southern New Media Co (300770) Fair Value & Analysis
Communication Services · CN · Market cap 7.8B CNY
Analysis
Guangdong Southern New Media Co (300770) currently trades at ¥34.61, while our model-based Fair Value estimate is ¥57.34 — implying the stock looks roughly 65.7% undervalued today. We read business quality at 80/100 (high quality), in the Communication Services 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: medium) — always confirm before acting.
About the company
Guangdong Southern New Media Co.,Ltd. provides internet audio-visual services in China. The company offers private network services; internet TV services, including internet TV integration platform and content service platform, as well as cloud audiovisual smart desktop, a TV desktop system for smart TVs, set-top boxes, and other smart terminals; and cable TV value-added services, such as research, development, and operation of cable TV networks and platforms that provide various contents comprising music, movie, e-sports, sport games, and children-related programs. It also engages in the industrial investment business, which include investment and fund management, consulting services, potential-exit channels, realization of upstream and downstream integration, and resource integration services, as well as capital, marketing, business, and talent operations; multimedia convergence cloud platform that supports the development of media convergence; and content copyright business. The…
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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.