Songcheng Performance Development Co (300144) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 16.5B CNY
Analysis
Songcheng Performance Development Co (300144) currently trades at ¥6.12, while our model-based Fair Value estimate is ¥6.85 — implying the stock looks roughly 11.9% undervalued today. We read business quality at 91/100 (high quality), in the Consumer Cyclical 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: high) — always confirm before acting.
About the company
Songcheng Performance Development Co.,Ltd operates in the cultural tourism and performing arts industry in China. The company operates tourism resorts and theme parks; and performs art shows under Songcheng and the Eternal Love brand names. It also engages in the leisure, tourism, live entertainment, and online entertainment, as well as catering services and marketing planning of tourist attractions; and development of tourism resources, tourism planning and design, artistic creation, brand planning of tourist attractions, and brokerage actvities. In addition, the company offers travel service business, including asset-light export business, tourism travel clothing service, and online ticket sales business; and internet information service, using information network to operate music entertainment products, and competition activities. Further, it engages in theme park development and operation; technical consulting in network technology; cultural event planning; and real estate devel…
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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.