Open Text Corp Stock Analysis

Open Stock Analysis Notes

About 78.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 1.86. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Open Text Corp has Price/Earnings To Growth (PEG) ratio of 0.87. The entity last dividend was issued on the 29th of November 2024. The firm had 2:1 split on the 25th of January 2017. Open Text Corporation engages in the designs, develops, markets, and sells information management software and solutions. Open Text Corporation was incorporated in 1991 and is headquartered in Waterloo, Canada. Open Text operates under SoftwareApplication classification in the United States and is traded on NASDAQ Exchange. It employs 14800 people. To find out more about Open Text Corp contact Mark Barrenechea at 519 888 7111 or learn more at https://www.opentext.com.

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Open Text Environmental, Social, and Governance (ESG) Scores

Open Text Thematic Classifications

Open Stock 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.

Open Market Capitalization

The company currently falls under 'Mid-Cap' category with a current market capitalization of 7.78 B.

Open 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.

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.

Technical Drivers

As of the 22nd of November, Open Text holds the Coefficient Of Variation of (1,675), variance of 3.71, and Risk Adjusted Performance of (0.04). Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Open Text, as well as the relationship between them.

Open Text Corp Price Movement Analysis

Open Text Outstanding Bonds

Open Text Predictive Daily Indicators

Open Text Corporate Filings

Open Text Forecast Models

Open Text's time-series forecasting models are one of many Open Text's stock analysis techniques aimed at predicting 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.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Open Text prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Open shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Open Text. By using and applying Open Stock analysis, traders can create a robust methodology for identifying Open entry and exit points for their positions.

We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. Open analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. Open analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.

Open Text Corp stock analysis indicators help investors evaluate how Open Text stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing and determine when trading Open Text shares will generate the highest return on investment. By understating and applying Open Text stock analysis, traders can identify Open Text position entry and exit signals to maximize returns.

When running Open Text's price analysis, check to measure Open Text's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Open Text is operating at the current time. Most of Open Text's value examination focuses on studying past and present price action to predict the probability of Open Text's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Open Text's price. Additionally, you may evaluate how the addition of Open Text to your portfolios can decrease your overall portfolio volatility.