Sangoma Technologies Corp Stock Market Value
| SANG Stock | USD 6.17 0.04 0.65% |
| Symbol | Sangoma |
Sangoma Technologies Corp Price To Book Ratio
Is Application Software space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Sangoma Technologies. If investors know Sangoma will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Sangoma Technologies listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.25) | Revenue Per Share 7.335 | Quarterly Revenue Growth (0.05) | Return On Assets (0) | Return On Equity (0.03) |
The market value of Sangoma Technologies Corp is measured differently than its book value, which is the value of Sangoma that is recorded on the company's balance sheet. Investors also form their own opinion of Sangoma Technologies' value that differs from its market value or its book value, called intrinsic value, which is Sangoma Technologies' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Sangoma Technologies' market value can be influenced by many factors that don't directly affect Sangoma Technologies' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Sangoma Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine if Sangoma Technologies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Sangoma Technologies' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Sangoma Technologies 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Sangoma Technologies' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Sangoma Technologies.
| 12/13/2022 |
| 12/02/2024 |
If you would invest 0.00 in Sangoma Technologies on December 13, 2022 and sell it all today you would earn a total of 0.00 from holding Sangoma Technologies Corp or generate 0.0% return on investment in Sangoma Technologies over 720 days. Sangoma Technologies is related to or competes with Rapid7, CyberArk Software, Varonis Systems, Check Point, Tenable Holdings, SentinelOne, and NetScout Systems. Sangoma Technologies Corporation develops, manufactures, distributes, and supports voice and data connectivity component... More
Sangoma Technologies Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Sangoma Technologies' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Sangoma Technologies Corp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.58 | |||
| Information Ratio | 0.039 | |||
| Maximum Drawdown | 21.17 | |||
| Value At Risk | (3.85) | |||
| Potential Upside | 4.17 |
Sangoma Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sangoma Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sangoma Technologies' standard deviation. In reality, there are many statistical measures that can use Sangoma Technologies historical prices to predict the future Sangoma Technologies' volatility.| Risk Adjusted Performance | 0.0728 | |||
| Jensen Alpha | 0.1865 | |||
| Total Risk Alpha | (0.25) | |||
| Sortino Ratio | 0.0447 | |||
| Treynor Ratio | 0.5503 |
Sangoma Technologies Corp Backtested Returns
Sangoma Technologies appears to be somewhat reliable, given 3 months investment horizon. Sangoma Technologies Corp owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.1, which indicates the firm had a 0.1% return per unit of risk over the last 3 months. We have found thirty technical indicators for Sangoma Technologies Corp, which you can use to evaluate the volatility of the company. Please review Sangoma Technologies' Coefficient Of Variation of 1168.67, risk adjusted performance of 0.0728, and Semi Deviation of 2.33 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Sangoma Technologies holds a performance score of 8. The entity has a beta of 0.44, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Sangoma Technologies' returns are expected to increase less than the market. However, during the bear market, the loss of holding Sangoma Technologies is expected to be smaller as well. Please check Sangoma Technologies' maximum drawdown, accumulation distribution, relative strength index, as well as the relationship between the semi variance and day typical price , to make a quick decision on whether Sangoma Technologies' existing price patterns will revert.
Auto-correlation | -0.69 |
Very good reverse predictability
Sangoma Technologies Corp has very good reverse predictability. Overlapping area represents the amount of predictability between Sangoma Technologies time series from 13th of December 2022 to 8th of December 2023 and 8th of December 2023 to 2nd of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Sangoma Technologies Corp price movement. The serial correlation of -0.69 indicates that around 69.0% of current Sangoma Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.69 | |
| Spearman Rank Test | -0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 1.06 |
Sangoma Technologies Corp lagged returns against current returns
Autocorrelation, which is Sangoma Technologies stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Sangoma Technologies' stock expected returns. We can calculate the autocorrelation of Sangoma Technologies returns to help us make a trade decision. For example, suppose you find that Sangoma Technologies has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
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Sangoma Technologies regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Sangoma Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sangoma Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sangoma Technologies stock over time.
Current vs Lagged Prices |
| Timeline |
Sangoma Technologies Lagged Returns
When evaluating Sangoma Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sangoma Technologies stock have on its future price. Sangoma Technologies autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Sangoma Technologies autocorrelation shows the relationship between Sangoma Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in Sangoma Technologies Corp.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Sangoma Technologies Corp is a strong investment it is important to analyze Sangoma Technologies' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Sangoma Technologies' future performance. For an informed investment choice regarding Sangoma Stock, refer to the following important reports:Check out Sangoma Technologies Correlation, Sangoma Technologies Volatility and Sangoma Technologies Alpha and Beta module to complement your research on Sangoma Technologies. You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Sangoma Technologies technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.