ATLAS fair value
ATLAS has no fair value for this stock today.
Forest Packaging stock price today, ATLAS forecast and fair value
Consumer Cyclical · Packaging & Containers · Shanghai Stock Exchange · China
Prices as of Oct 27, 2026 · CNY
ATLAS has no fair value for this stock today.
51%
that it ends higher than today in 21 sessions
ATLAS's own quantitative analysis, all in one place.
Plans from €3.99 a month.
ATLAS's model gives Forest Packaging a 51% chance of finishing higher a month from now (21 trading sessions) than today: close to a coin flip.
In half of the simulated outcomes the price ends between CN¥6.52 and CN¥7.26; in 9 out of 10, between CN¥5.93 and CN¥7.99. Estimated annual volatility is 27%.
ATLAS does not publish a fair value for 605500.SHG right now, but it does show its odds of rising: close to a coin flip.
Over the last 52 weeks 605500.SHG has traded between CN¥5.90 and CN¥12.50. Today it is 45.0% below that high and 16% above its low.
On the business: net margin is 1.1%; it trades at 79.4 times earnings.
Its beta is 0.30: it tends to move less than the market.
Forest Packaging Group Co.,Ltd., together with its subsidiaries, produces and sells packaging paper and paper packaging products in China and internationally. The company offers corrugated and luxury gift boxes, colored carton boxes, and paper bags.
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Other companies in the same line of business:
Forest Packaging Group Co.,Ltd., together with its subsidiaries, produces and sells packaging paper and paper packaging products in China and internationally. The company offers corrugated and luxury gift boxes, colored carton boxes, and paper bags.
51%: close to a coin flip. In half of the simulated outcomes, 605500.SHG ends the month between CN¥6.52 and CN¥7.26.
Forest Packaging's market capitalization is CN¥3.0B. Its price-to-earnings (P/E) ratio is 79.4: you pay CN¥79.4 for each CN¥1.00 of yearly earnings.
Yes. 605500.SHG's current dividend yield is 0.96% at today's price (CN¥6.87).
Not investment advice. ATLAS estimates are produced by statistical models from public data; they can be wrong and past performance does not predict future results. Consider your own situation before investing. Disclaimer
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