Changjiang Publishing & Media Co (600757) Fair Value & Analysis
Communication Services · CN · Market cap 9.8B CNY
Analysis
Changjiang Publishing & Media Co (600757) currently trades at ¥7.56, while our model-based Fair Value estimate is ¥12.29 — implying the stock looks roughly 62.6% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Changjiang Publishing & Media Co.,Ltd operates as a publishing company in China. The company engages in the publication, distribution, printing and material trade of books, periodicals, newspapers, audiovisual products, and electronic publications. It also offers publication and distribution of textbooks, teaching aids, general books, and audio-visual products, as well as engages in the procurement and sale of paper, equipment and other materials and products; and printing and packaging of various books and periodicals. In addition, the company is involved in educational research consulting; artwork production and sales; auctions; culture and media; early childhood and digital education; software; property; supplies; cultural and creative products; rental and business; research and experimental development; printing supplies; investment; and other financial services. The company is headquartered in Wuhan, China. Changjiang Publishing & Media Co.,Ltd operates as a subsidiary of Hubei…
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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.