Sangoma Technologies Corp Stock Price on October 18, 2024
| STC Stock | 10.02 0.03 0.30% |
Below is the normalized historical share price chart for Sangoma Technologies Corp extending back to July 31, 1996. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Sangoma Technologies stands at 10.02, as last reported on the 26th of December, with the highest price reaching 10.10 and the lowest price hitting 9.92 during the day.
If you're considering investing in Sangoma Stock, it is important to understand the factors that can impact its price. Sangoma Technologies appears to be not too volatile, given 3 months investment horizon. Sangoma Technologies Corp owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.23, which indicates the firm had a 0.23% 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' Risk Adjusted Performance of 0.1616, coefficient of variation of 514.47, and Semi Deviation of 1.54 to confirm if our risk estimates are consistent with your expectations.
At this time, Sangoma Technologies' Total Stockholder Equity is very stable compared to the past year. As of the 26th of December 2024, Common Stock Shares Outstanding is likely to grow to about 35 M, while Capital Stock is likely to drop about 223.7 M. . At this time, Sangoma Technologies' Price To Sales Ratio is very stable compared to the past year. As of the 26th of December 2024, Price Sales Ratio is likely to grow to 1.54, though Price Earnings Ratio is likely to grow to (0.77). Sangoma Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
200 Day MA 7.3808 | 50 Day MA 8.736 | Beta 1.691 |
Sangoma |
Sharpe Ratio = 0.2264
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Estimated Market Risk
| 2.12 actual daily | 18 82% of assets are more volatile |
Expected Return
| 0.48 actual daily | 9 91% of assets have higher returns |
Risk-Adjusted Return
| 0.23 actual daily | 17 83% of assets perform better |
Based on monthly moving average Sangoma Technologies is performing at about 17% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Sangoma Technologies by adding it to a well-diversified portfolio.
Price Book 0.9052 | Enterprise Value Ebitda 6.9358 | Price Sales 1.375 | Shares Float 25.9 M | Wall Street Target Price 12.3137 |
Sangoma Technologies Valuation on October 18, 2024
It is possible to determine the worth of Sangoma Technologies on a given historical date. On October 18, 2024 Sangoma was worth 7.99 at the beginning of the trading date compared to the closed value of 7.98. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Sangoma Technologies stock. Still, in general, we apply an absolute valuation method to find Sangoma Technologies' value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Sangoma Technologies where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Sangoma Technologies' related companies.
| Open | High | Low | Close | Volume | |
| 8.01 | 8.04 | 7.94 | 7.98 | 6,878 | |
10/18/2024 | 7.99 | 8.04 | 7.93 | 7.98 | 15,679 |
| 8.00 | 8.05 | 7.90 | 7.98 | 10,900 |
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Sangoma Technologies Trading Date Momentum on October 18, 2024
| On October 21 2024 Sangoma Technologies Corp was traded for 7.98 at the closing time. The maximum traded price for the trading interval was 8.05 and the lowest daily price was 7.90 . The daily volume was recorded at 10.9 K. The volume of trading on 21st of October 2024 did not result in any price rise and fall. The trading price change to the closing price today is 0.75% . |
Sangoma Technologies Corp Fundamentals Correlations and Trends
By evaluating Sangoma Technologies' financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Sangoma Technologies' main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Sangoma financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Sangoma Technologies Stock history
Sangoma Technologies investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Sangoma is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Sangoma Technologies Corp will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Sangoma Technologies stock prices may prove useful in developing a viable investing in Sangoma Technologies
| Last Reported | Projected for Next Year | ||
| Common Stock Shares Outstanding | 33.3 M | 35 M | |
| Net Loss | -26.1 M | -27.4 M |
Sangoma Technologies Stock Technical Analysis
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.
Price Boundaries
Sangoma Technologies Period Price Range
Low | December 26, 2024
| High |
0.00 | 0.00 |
Sangoma Technologies Corp cannot be verified against its exchange. Please verify the symbol is currently traded on Toronto Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Sangoma Technologies December 26, 2024 Market Strength
Market strength indicators help investors to evaluate how Sangoma Technologies stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Sangoma Technologies shares will generate the highest return on investment. By undertsting and applying Sangoma Technologies stock market strength indicators, traders can identify Sangoma Technologies Corp entry and exit signals to maximize returns
Sangoma Technologies Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Sangoma Technologies' price direction in advance. Along with the technical and fundamental analysis of Sangoma Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Sangoma to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.1616 | |||
| Jensen Alpha | 0.3872 | |||
| Total Risk Alpha | 0.3082 | |||
| Sortino Ratio | 0.1812 | |||
| Treynor Ratio | 1.1 |
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Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Sangoma Technologies 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.