Sangoma Return On Assets from 2010 to 2026
| STC Stock | 6.31 0.08 1.25% |
Return On Assets | First Reported 2010-12-31 | Previous Quarter (0.01) | Current Value (0.01) | Quarterly Volatility 0.32791699 |
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 | Return On Assets |
Evaluating Sangoma Technologies's Return On Assets 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 Sangoma Technologies Corp's fundamental strength.
Latest Sangoma Technologies' Return On Assets Growth Pattern
Below is the plot of the Return On Assets of Sangoma Technologies Corp over the last few years. It is a profitability ratio that indicates the percentage of profit a company earns in relation to its overall resources. It is calculated by dividing net income by total assets. Sangoma Technologies' Return On Assets 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.
| Return On Assets | 10 Years Trend |
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Return On Assets |
| Timeline |
Sangoma Return On Assets Regression Statistics
| Arithmetic Mean | (0.10) | |
| Geometric Mean | 0.03 | |
| Coefficient Of Variation | (318.56) | |
| Mean Deviation | 0.18 | |
| Median | 0.0004 | |
| Standard Deviation | 0.33 | |
| Sample Variance | 0.11 | |
| Range | 1.3809 | |
| R-Value | 0.39 | |
| Mean Square Error | 0.1 | |
| R-Squared | 0.15 | |
| Significance | 0.12 | |
| Slope | 0.03 | |
| Total Sum of Squares | 1.72 |
Sangoma Return On Assets History
About Sangoma Technologies Financial Statements
Sangoma Technologies investors utilize fundamental indicators, such as Return On Assets, 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 | ||
| Return On Assets | (0.01) | (0.01) |
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 together with Sangoma Stock
Moving against Sangoma Stock
| 0.93 | TF | Timbercreek Financial | PairCorr |
| 0.93 | HLF | High Liner Foods | PairCorr |
| 0.92 | MU | Micron Technology | PairCorr |
| 0.91 | PESO | Pesorama | PairCorr |
| 0.84 | LFE | Canadian Life Companies | 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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.