Atlassian is a software - application business based in the US. Atlassian shares (TEAM.US) are listed on the NASDAQ and all prices are listed in US dollars. Its last market close was $206.53 – a decrease of 3.78% over the previous day. Atlassian employs 10,726 staff and has a trailing 12-month revenue of around $3.9 billion.
Only you can make the decision on the time to leap... but here's some supporting information and analysis.
Over the last 12 months, Atlassian's shares have ranged in value from as little as $128.02 up to $258.69. A popular way to gauge a stock's volatility is its "beta".
Beta is a measure of a share's volatility in relation to the market. The market (NASDAQ average) beta is 1, while Atlassian's is 0.641. This would suggest that Atlassian's shares are less volatile than average (for this exchange).
Historical closes compared with the last close of $206.53
| 1 week (2024-04-08) | 1.78% |
|---|---|
| 1 month (2024-03-14) | 6.22% |
| 3 months (2024-01-15) | -14.15% |
| 6 months (2023-10-15) | 5.23% |
| 1 year (2023-04-13) | 24.77% |
| 2 years (2022-04-13) | -22.17% |
| 3 years (2021-04-15) | -12.03% |
| 5 years (2019-04-15) | 82.82% |
The gauge below shows real-time ratings that are based on 26 popular indicators such as moving averages, for specific time periods. It's not a recommendation but is simply technical analysis that can form part of your research.
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Valuing a stock is incredibly difficult, and any metric has to be viewed as part of a bigger picture of overall performance. However, analysts commonly use some key metrics to help gauge value. Check out the Atlassian P/E ratio, PEG ratio and EBITDA
Atlassian's "price/earnings-to-growth ratio" can be calculated by dividing its P/E ratio by its growth – to give 2.6276. Higher PEG ratios such as this can be interpreted as meaning the shares offer worse value given the current rate of growth.
The PEG ratio provides a broader view than just the P/E ratio, as it gives more insight into Atlassian's future profitability. By accounting for growth, it could also help you if you're comparing the stock prices of multiple high-growth companies.
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