Ruyi Film Entertainment Company (002739) Fair Value & Analysis
Communication Services · CN · Market cap 17.8B CNY
Fair value as of: Jun 25, 2026
Analysis
Ruyi Film Entertainment Company (002739) currently trades at ¥8.04, while our model-based Fair Value estimate is ¥7.59 — implying the stock looks roughly 5.6% overvalued today. We read business quality at 95/100 (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: high).
About the company
Ruyi Film Entertainment Company Limited engages in the cinema film screening and related businesses in China and internationally. The company invest and operates cinemas. It also sells food and beverages, such as popcorn, drinks, and snacks; as well as movie-related items, trendy toys, co-branded IP products, and company-developed products. In addition, the company provides screen advertising, including commercial advertisements; and physical advertising comprising lightbox advertisements, banner advertisements, and billboards. Further, it is involved in film investment, production and distribution; TV series investment, production, and distribution; and distributes and operates online games, as well as web games and mobile online games. The company was formerly known as Wanda Film Holding Co., Ltd. and changed its name to Ruyi Film Entertainment Company Limited in April 2026. Ruyi Film Entertainment Company Limited was incorporated in 2005 and is headquartered in Beijing, China.
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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.