ATLAS fair value
ATLAS has no fair value for this stock today.
Tiong Nam Logistics stock price today, ATLAS forecast and fair value
Industrials · Integrated Freight & Logistics · Bursa Malaysia · Malaysia
Prices as of Oct 27, 2026 · MYR
ATLAS has no fair value for this stock today.
53%
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 Tiong Nam Logistics a 53% 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 MYR 0.752 and MYR 0.814; in 9 out of 10, between MYR 0.701 and MYR 0.874. Estimated annual volatility is 21%.
ATLAS does not publish a fair value for 8397.KLSE right now, but it does show its odds of rising: close to a coin flip.
Over the last 52 weeks 8397.KLSE has traded between MYR 0.710 and MYR 0.850. Today it is 8.2% below that high and 10% above its low.
On the business: net margin is 4.3%; it trades at 10.0 times earnings.
Its beta is 0.27: it tends to move less than the market.
Tiong Nam Logistics Holdings Berhad, an investment holding company, trades in diesel and petrol in Malaysia. It operates through Logistics and Warehousing Services, Investment, Property development, and Dormitory segments.
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Other companies in the same line of business:
Tiong Nam Logistics Holdings Berhad, an investment holding company, trades in diesel and petrol in Malaysia. It operates through Logistics and Warehousing Services, Investment, Property development, and Dormitory segments.
53%: close to a coin flip. In half of the simulated outcomes, 8397.KLSE ends the month between MYR 0.752 and MYR 0.814.
Tiong Nam Logistics's market capitalization is MYR 412M. Its price-to-earnings (P/E) ratio is 10.0: you pay MYR 10.0 for each MYR 1.00 of yearly earnings.
ATLAS estimates annual volatility at 21%. In a typical month, half of the outcomes end between MYR 0.752 and MYR 0.814.
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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