Open Text Net Worth

Open Text Net Worth Analysis

Know Open Text's Top Institutional Investors

Note, although Open Text's institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

Follow Open Text's market capitalization trends

The company currently falls under 'Mid-Cap' category with a current market capitalization of 8.15 B.

Project Open Text's profitablity

The company has Profit Margin (PM) of 0.08 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.2 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.2.

Earnings View

Profitability View

Liquidity View

Fundamentals View

Competition View

Evaluate Open Text's management efficiency

Open Text Corp has return on total asset (ROA) of 0.0427 % which means that it generated a profit of $0.0427 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of 0.115 %, meaning that it created $0.115 on every $100 dollars invested by stockholders. Open Text's management efficiency ratios could be used to measure how well Open Text manages its routine affairs as well as how well it operates its assets and liabilities. At this time, Open Text's Return On Capital Employed is fairly stable compared to the past year. Return On Equity is likely to rise to 0.12 in 2024, whereas Return On Tangible Assets are likely to drop 0.06 in 2024. At this time, Open Text's Total Assets are fairly stable compared to the past year. Non Current Assets Total is likely to rise to about 12.5 B in 2024, whereas Other Assets are likely to drop 0.95 in 2024.

Open Text Corporate Filings

Open Text time-series forecasting models is one of many Open Text's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Open Text's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Open Text Earnings per Share Projection vs Actual

Open Text Corporate Management

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