Pure Storage Operating Income Over Time
| 6PU Stock | EUR 56.43 1.36 2.35% |
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Cross Equities Operating Income Analysis
Compare Pure Storage and related stocks such as BANK RAKYAT IND, BANK RAKYAT IND, and PT Bank Rakyat Operating Income Over Time
| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BYRA | 27.2 T | 27.2 T | 27.2 T | 27.2 T | 27.2 T | 29.5 T | 30 T | 32.1 T | 35.9 T | 36.7 T | 36.7 T | 36.7 T | 36.7 T | 36.7 T | 36.7 T | 42.2 T | 35.1 T |
| PQ9 | 25.9 T | 25.9 T | 25.9 T | 25.9 T | 25.9 T | 26.4 T | 18.4 T | 27.2 T | 33.9 T | 36.5 T | 36.5 T | 36.5 T | 36.5 T | 36.5 T | 36.5 T | 42 T | 30.9 T |
Pure Storage and related stocks such as BANK RAKYAT IND, BANK RAKYAT IND, and PT Bank Rakyat Operating Income description
Operating Income is the amount of profit realized from Pure Storage operations after accounting for operating expenses such as cost of goods sold (COGS), wages and depreciation. Operating income takes the gross income and subtracts other operating expenses and then removes depreciation. Operating Income of Pure Storage is typically a synonym for earnings before interest and taxes (EBIT) and is also commonly referred to as operating profit or recurring profit. Earnings before interest and taxes (EBIT), representing the amount of profit a company generates from its operations.My Equities
My Current Equities and Potential Positions
| Pure Storage | 6PU |
| Classification | Data Storage |
| Business Address | 2555 Augustine Drive, |
| Exchange | Frankfurt Exchange |
EUR 56.43
Check out Pure Storage Performance and Pure Storage Correlation. For more detail on how to invest in Pure Stock please use our How to Invest in Pure Storage guide.You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Pure Storage technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.