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Heilongjiang Publishing & Media Co (605577) Fair Value & Analysis

Communication Services · CN · Market cap 4.4B CNY

Price¥9.51
Fair Value¥11.09
Upside+16.6%
Quality95/100
Evidence: High Range ¥8.50 – ¥13.83

Fair value as of: Jun 24, 2026

Analysis

Heilongjiang Publishing & Media Co (605577) currently trades at ¥9.51, while our model-based Fair Value estimate is ¥11.09 — implying the stock looks roughly 16.6% 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

Heilongjiang Publishing & Media Co., Ltd. engages inediting, printing, and distributing books, newspapers, and periodicals in China. The company offers digital products, such as audio-visual products, electronic products, and digital education products. It also engages in the online businesses, such as e-commerce, short videos, and live streaming e-commerce, as well as provides digital media, technical services, and material supply comprehensive services. The company operates a chain of bookstore outlets. Heilongjiang Publishing & Media Co., Ltd. was founded in 2014 and is based in Harbin, China.

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Frequently asked questions

Is Heilongjiang Publishing & Media Co (605577) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥11.09 versus a price of ¥9.51 — about +17% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 605577?
Our 21-model fair value for Heilongjiang Publishing & Media Co is ¥11.09 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥9.51.
What is the quality score of 605577?
Heilongjiang Publishing & Media Co has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.