Beijing Shengtong Printing Co (002599) Fair Value & Analysis
Industrials · CN · Market cap 3.1B CNY
Fair value as of: Jun 25, 2026
Analysis
Beijing Shengtong Printing Co (002599) currently trades at ¥5.53, while our model-based Fair Value estimate is ¥0.8500 — implying the stock looks roughly 84.6% overvalued today. We read business quality at 94/100 (high quality), in the Industrials 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
Beijing Shengtong Printing Co., Ltd. provides publishing and packaging printing services in China and internationally. It also provides design, binding and typesetting, capacity management, raw material supply chain, and book warehousing and distribution services. In addition, the company offers science education courses, such as programming education, robotics education, scientific experiments, and artificial intelligence through direct sales stores; and services comprising training and teaching aids research and development and sales, technical system support, research projects, and curriculum delivery to institutional customers, including schools, training institutions, youth palaces, and other partner. Further, it is involved in trademark printing; general cargo transportation; advertising production; sales of paper and ink; and import and export agency business. The company was founded in 2000 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.