Central China Land Media CO.,LTD, (000719) Fair Value & Analysis
Communication Services · CN · Market cap 12.6B CNY
Analysis
Central China Land Media CO.,LTD, (000719) currently trades at ¥11.63, while our model-based Fair Value estimate is ¥25.26 — implying the stock looks roughly 117.2% 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
Central China Land Media CO.,LTD, together with its subsidiaries, engages in the editing, production, and marketing of publications in China. The company publishes textbooks and supplementary teaching materials; rental publication of textbooks; and printing and production of rented and self-owned textbooks, supplementary teaching materials, and general books, as well as books, periodicals, newspapers, and other publications from other companies. It also provides paper, pulp, printing machinery, and printing consumables; import/export and exhibition trade of household paper, office paper, and cultural paper; and supplies printing paper for primary and secondary school textbooks and supplementary materials. In addition, the company is involved in organizing planning, topic selection, manuscript compilation, and editing of print and digital textbooks, and supplementary materials. It sells its products through government procurement, Bookstores, Yunshu.com e-commerce platform, and new m…
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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.