Open Net Debt from 2010 to 2026
| OTEX Stock | CAD 33.79 0.49 1.43% |
Net Debt | First Reported 1996-12-31 | Previous Quarter 5.5 B | Current Value 5.3 B | Quarterly Volatility 2.1 B |
Check Open Text financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Open Text's main balance sheet or income statement drivers, such as Interest Expense of 455.7 M, Total Revenue of 6.2 B or Gross Profit of 4.5 B, as well as many indicators such as Price To Sales Ratio of 1.59, Dividend Yield of 0.0334 or PTB Ratio of 3.09. Open financial statements analysis is a perfect complement when working with Open Text Valuation or Volatility modules.
Open | Net Debt |
Evaluating Open Text's Net Debt across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Open Text Corp's fundamental strength.
Latest Open Text's Net Debt Growth Pattern
Below is the plot of the Net Debt of Open Text Corp over the last few years. It is the total debt of a company minus its cash and cash equivalents. It represents the actual debt burden on the company after accounting for the liquid assets it holds. Open Text's Net Debt historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Open Text's overall financial position and show how it may be relating to other accounts over time.
| Net Debt | 10 Years Trend |
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Net Debt |
| Timeline |
Open Net Debt Regression Statistics
| Arithmetic Mean | 2,830,723,027 | |
| Coefficient Of Variation | 90.52 | |
| Mean Deviation | 2,081,297,685 | |
| Median | 2,126,460,000 | |
| Standard Deviation | 2,562,245,777 | |
| Sample Variance | 6565103.4T | |
| Range | 8B | |
| R-Value | 0.91 | |
| Mean Square Error | 1251835.3T | |
| R-Squared | 0.82 | |
| Slope | 459,817,009 | |
| Total Sum of Squares | 105041654.7T |
Open Net Debt History
About Open Text Financial Statements
Open Text investors utilize fundamental indicators, such as Net Debt, to predict how Open Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Net Debt | 6.3 B | 6.6 B | |
| Net Debt To EBITDA | 3.19 | 3.35 |
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.Moving against Open Stock
| 0.9 | TOT | Total Energy Services | PairCorr |
| 0.89 | UPS | UPS CDR | PairCorr |
| 0.89 | UPS | UPS CDR | PairCorr |
| 0.89 | MDM | Madoro Metals Corp | PairCorr |
| 0.87 | WMT | Walmart Inc CDR | PairCorr |
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 the analysis of Open Text Correlation against competitors. You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.