Open Book Value Per Share vs Free Cash Flow Yield Analysis
OTEX Stock | CAD 40.78 0.40 0.99% |
Open Text financial indicator trend analysis is much more than just breaking down Open Text Corp prevalent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Open Text Corp is a good investment. Please check the relationship between Open Text Book Value Per Share and its Free Cash Flow Yield accounts. Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Open Text Corp. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Book Value Per Share vs Free Cash Flow Yield
Book Value Per Share vs Free Cash Flow Yield Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Open Text Corp Book Value Per Share account and Free Cash Flow Yield. At this time, the significance of the direction appears to have fragmental relationship.
The correlation between Open Text's Book Value Per Share and Free Cash Flow Yield is 0.58. Overlapping area represents the amount of variation of Book Value Per Share that can explain the historical movement of Free Cash Flow Yield in the same time period over historical financial statements of Open Text Corp, assuming nothing else is changed. The correlation between historical values of Open Text's Book Value Per Share and Free Cash Flow Yield is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Book Value Per Share of Open Text Corp are associated (or correlated) with its Free Cash Flow Yield. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Free Cash Flow Yield has no effect on the direction of Book Value Per Share i.e., Open Text's Book Value Per Share and Free Cash Flow Yield go up and down completely randomly.
Correlation Coefficient | 0.58 |
Relationship Direction | Positive |
Relationship Strength | Weak |
Book Value Per Share
The ratio of equity available to common shareholders divided by the number of outstanding shares. This measure represents the value per share of a company according to its financial statements.Free Cash Flow Yield
A financial solvency ratio that compares the free cash flow per share a company is expected to earn against its market value per share, calculated as free cash flow per share divided by market price per share.Most indicators from Open Text's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Open Text Corp current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Open Text Corp. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. At this time, Open Text's Selling General Administrative is very stable compared to the past year. As of the 22nd of November 2024, Sales General And Administrative To Revenue is likely to grow to 0.11, while Tax Provision is likely to drop about 145.4 M.
2021 | 2022 | 2023 | 2024 (projected) | Gross Profit | 2.4B | 3.2B | 4.2B | 4.4B | Total Revenue | 3.5B | 4.5B | 5.8B | 6.1B |
Open Text fundamental ratios Correlations
Click cells to compare fundamentals
Open Text Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Open Text fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Common Stock Shares Outstanding | 271.8M | 273.5M | 271.9M | 270.5M | 272.6M | 239.3M | |
Total Assets | 10.2B | 9.6B | 10.2B | 17.1B | 14.2B | 14.9B | |
Short Long Term Debt Total | 4.5B | 3.9B | 4.5B | 9.2B | 6.7B | 7.0B | |
Other Current Liab | 376.5M | 17.4M | 51.1M | 922.8M | 1.0B | 1.1B | |
Total Current Liabilities | 1.9B | 1.4B | 1.5B | 3.2B | 2.8B | 2.9B | |
Total Stockholder Equity | 4.0B | 4.1B | 4.0B | 4.0B | 4.2B | 4.4B | |
Property Plant And Equipment Net | 452.4M | 468.1M | 442.8M | 642.6M | 587.5M | 616.9M | |
Net Debt | 2.8B | 2.3B | 2.8B | 8.0B | 5.4B | 5.7B | |
Retained Earnings | 2.2B | 2.2B | 2.2B | 2.0B | 2.1B | 2.2B | |
Accounts Payable | 41.5M | 423.6M | 448.6M | 162.7M | 151.2M | 128.4M | |
Cash | 1.7B | 1.6B | 1.7B | 1.2B | 1.3B | 1.3B | |
Non Current Assets Total | 7.8B | 7.4B | 7.9B | 14.8B | 11.9B | 12.5B | |
Non Currrent Assets Other | 123.5M | 141.7M | 147.5M | 313.3M | 268.9M | 282.3M | |
Cash And Short Term Investments | 1.7B | 1.6B | 1.7B | 1.2B | 1.3B | 1.3B | |
Net Receivables | 557.1M | 496.2M | 471.1M | 821.9M | 753.8M | 791.4M | |
Liabilities And Stockholders Equity | 10.2B | 9.6B | 10.2B | 17.1B | 14.2B | 14.9B | |
Non Current Liabilities Total | 4.3B | 4.1B | 4.7B | 9.8B | 7.2B | 7.6B | |
Other Current Assets | 136.4M | 72.9M | 87.2M | 175.9M | 192.1M | 201.7M | |
Other Stockholder Equity | (4.0B) | (4.1B) | (4.2B) | (4.2B) | (123.3M) | (129.4M) | |
Total Liab | 6.2B | 5.5B | 6.1B | 13.1B | 10.0B | 10.5B | |
Property Plant And Equipment Gross | 452.4M | 468.1M | 442.8M | 1.3B | 1.3B | 1.4B | |
Total Current Assets | 2.4B | 2.2B | 2.3B | 2.3B | 2.3B | 2.4B | |
Accumulated Other Comprehensive Income | 17.8M | 66.2M | (7.7M) | (53.6M) | (69.6M) | (66.1M) | |
Short Term Debt | 674.1M | 68.3M | 66.4M | 412.3M | 112.3M | 83.2M | |
Short Term Investments | 7.5M | 3.0M | 6.3M | 2.6M | 4.1M | 4.3M | |
Intangible Assets | 1.6B | 1.2B | 1.1B | 4.1B | 2.5B | 2.6B | |
Current Deferred Revenue | 812.2M | 852.6M | 902.2M | 1.7B | 1.5B | 1.6B | |
Good Will | 4.7B | 4.7B | 5.2B | 8.7B | 7.5B | 7.9B | |
Common Stock | 1.9B | 1.9B | 2.0B | 2.2B | 2.3B | 1.5B | |
Other Liab | 522.4M | 344.7M | 270.2M | 1.0B | 1.2B | 1.2B | |
Net Tangible Assets | (2.3B) | (1.8B) | (2.4B) | (8.7B) | (7.9B) | (7.5B) | |
Other Assets | 1.0B | 938.4M | 957.7M | 1.4B | 1.6B | 978.7M | |
Long Term Debt | 3.6B | 3.6B | 4.2B | 8.6B | 6.4B | 3.9B | |
Deferred Long Term Liab | 35.6M | 43.0M | 50.3M | 55.5M | 49.9M | 43.5M | |
Long Term Investments | 76.0M | 121.8M | 173.2M | 187.8M | 164.7M | 91.7M | |
Property Plant Equipment | 387.0M | 401.9M | 370.6M | 642.6M | 739.0M | 776.0M | |
Long Term Debt Total | 3.6B | 3.6B | 4.2B | 8.6B | 9.9B | 10.3B |
Pair Trading with Open Text
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Open Text position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Open Text will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Open Text could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Open Text when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Open Text - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Open Text Corp to buy it.
The correlation of Open Text is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Open Text moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Open Text Corp moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Open Text can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Open Text Corp. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.