Open Days Sales Outstanding vs Ev To Sales 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 Days Sales Outstanding and its Ev To Sales 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.
Days Sales Outstanding vs Ev To Sales
Days Sales Outstanding vs Ev To Sales Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Open Text Corp Days Sales Outstanding account and Ev To Sales. At this time, the significance of the direction appears to have fragmental relationship.
The correlation between Open Text's Days Sales Outstanding and Ev To Sales is 0.53. Overlapping area represents the amount of variation of Days Sales Outstanding that can explain the historical movement of Ev To Sales 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 Days Sales Outstanding and Ev To Sales is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Days Sales Outstanding of Open Text Corp are associated (or correlated) with its Ev To Sales. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Ev To Sales has no effect on the direction of Days Sales Outstanding i.e., Open Text's Days Sales Outstanding and Ev To Sales go up and down completely randomly.
Correlation Coefficient | 0.53 |
Relationship Direction | Positive |
Relationship Strength | Weak |
Days Sales Outstanding
Ev To Sales
The Enterprise Value to Sales ratio, a valuation metric used to compare the value of a company, including debt and excluding cash, to its sales revenue.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
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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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.