Sangoma Cash Conversion Cycle from 2010 to 2026
| STC Stock | 6.62 0.03 0.45% |
Cash Conversion Cycle | First Reported 2010-12-31 | Previous Quarter (10.85) | Current Value (10.30) | Quarterly Volatility 118.87476744 |
Check Sangoma Technologies financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Sangoma Technologies' main balance sheet or income statement drivers, such as Depreciation And Amortization of 54.4 M, Total Revenue of 285.8 M or Gross Profit of 195.3 M, as well as many indicators such as Price To Sales Ratio of 1.3, Dividend Yield of 0.0336 or PTB Ratio of 1.05. Sangoma financial statements analysis is a perfect complement when working with Sangoma Technologies Valuation or Volatility modules.
Sangoma | Cash Conversion Cycle |
Latest Sangoma Technologies' Cash Conversion Cycle Growth Pattern
Below is the plot of the Cash Conversion Cycle of Sangoma Technologies Corp over the last few years. It is Sangoma Technologies' Cash Conversion Cycle historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Sangoma Technologies' overall financial position and show how it may be relating to other accounts over time.
| Cash Conversion Cycle | 10 Years Trend |
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Cash Conversion Cycle |
| Timeline |
Sangoma Cash Conversion Cycle Regression Statistics
| Arithmetic Mean | 40.30 | |
| Geometric Mean | 30.51 | |
| Coefficient Of Variation | 294.96 | |
| Mean Deviation | 88.84 | |
| Median | 6.89 | |
| Standard Deviation | 118.87 | |
| Sample Variance | 14,131 | |
| Range | 508 | |
| R-Value | (0.35) | |
| Mean Square Error | 13,251 | |
| R-Squared | 0.12 | |
| Significance | 0.17 | |
| Slope | (8.18) | |
| Total Sum of Squares | 226,099 |
Sangoma Cash Conversion Cycle History
About Sangoma Technologies Financial Statements
Sangoma Technologies investors utilize fundamental indicators, such as Cash Conversion Cycle, to predict how Sangoma 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 | ||
| Cash Conversion Cycle | (10.85) | (10.30) |
Pair Trading with Sangoma Technologies
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 Sangoma Technologies 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 Sangoma Technologies will appreciate offsetting losses from the drop in the long position's value.Moving against Sangoma Stock
| 0.67 | NXR-UN | Nexus Real Estate | PairCorr |
| 0.55 | ADEN | ADENTRA | PairCorr |
| 0.54 | IE | Ivanhoe Energy | PairCorr |
| 0.43 | BNP | BNP Paribas CDR | PairCorr |
| 0.4 | ENB-PFU | Enbridge Pref L | PairCorr |
The ability to find closely correlated positions to Sangoma Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sangoma Technologies 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 Sangoma Technologies - 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 Sangoma Technologies Corp to buy it.
The correlation of Sangoma Technologies 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 Sangoma Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sangoma Technologies 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 Sangoma Technologies 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 Sangoma Technologies Correlation against competitors. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.