Sangoma Technologies Corp Stock Analysis
| STC Stock | 8.54 0.05 0.58% |
Sangoma Technologies Corp is fairly valued with Real Value of 8.31 and Hype Value of 8.5. The main objective of Sangoma Technologies stock analysis is to determine its intrinsic value, which is an estimate of what Sangoma Technologies Corp is worth, separate from its market price. There are two main types of Sangoma Technologies' stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Sangoma Technologies' performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Sangoma Technologies' stock to identify patterns and trends that may indicate its future price movements.
The Sangoma Technologies stock is traded in Canada on Toronto Exchange, with the market opening at 09:30:00 and closing at 16:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Canada. Sangoma Technologies is usually not traded on Canada Day, Civic Holiday, Labour Day, Thanksgiving Day, Christmas Day, Boxing Day, New Year 's Day, Family Day, Good Friday, Victoria Day. Sangoma Stock trading window is adjusted to America/Toronto timezone.
Sangoma |
Sangoma Stock Analysis Notes
About 28.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 0.8. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Sangoma Technologies Corp recorded a loss per share of 0.35. The entity last dividend was issued on the 17th of February 2006. The firm had 1:7 split on the 8th of November 2021. To find out more about Sangoma Technologies Corp contact PEng BASc at 905 474 1990 or learn more at https://sangoma.com.Sangoma Technologies Corp Investment Alerts
| The company reported the revenue of 247.28 M. Net Loss for the year was (8.66 M) with profit before overhead, payroll, taxes, and interest of 172.79 M. | |
| About 28.0% of the company outstanding shares are owned by corporate insiders | |
| Latest headline from news.google.com: Sangoma Technologies Corporation Announces Voting Results from its Annual General and Special Meeting of Shareholders - Business Wire |
Sangoma Largest EPS Surprises
Earnings surprises can significantly impact Sangoma Technologies' stock price both in the short term and over time. Negative earnings surprises usually result in a price decline. However, it has been seen that positive earnings surprises lead to an immediate rise in a stock's price and a gradual increase over time. This is why we often hear news about some companies beating earning projections. Financial analysts spend a large amount of time predicting earnings per share (EPS) along with other important future indicators. Many analysts use forecasting models, management guidance, and additional fundamental information to derive an EPS estimate.
| Reported | Fiscal Date | Estimated EPS | Reported EPS | Surprise | |||
|---|---|---|---|---|---|---|---|
2024-05-08 | 2024-03-31 | -0.05 | -0.04 | 0.01 | 20 | ||
2022-02-10 | 2021-12-31 | -0.09 | -0.08 | 0.01 | 11 | ||
2021-11-12 | 2021-09-30 | -0.08 | -0.09 | -0.01 | 12 |
Sangoma Technologies Thematic Classifications
In addition to having Sangoma Technologies stock in your portfolios, you can add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your favorite investment opportunity, you can then obtain an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility. If you are a result-oriented investor, you can benefit from optimizing one of our existing themes to build an efficient portfolio against your specific investing outlook.
 | ITInformation technology and IT services |
Sangoma Market Capitalization
The company currently falls under 'Small-Cap' category with a current market capitalization of 288.09 M. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Sangoma Technologies's market, we take the total number of its shares issued and multiply it by Sangoma Technologies's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.Sangoma Profitablity
Sangoma Technologies' profitability indicators refer to fundamental financial ratios that showcase Sangoma Technologies' ability to generate income relative to its revenue or operating costs. If, let's say, Sangoma Technologies is currently losing money, the management's focus should be on how to reverse that trend. However, when revenue exceeds expenses, Sangoma Technologies' executives or investors may be in less hurry to break that information down - which is where profitability analysis comes into play. Gaining a greater understanding of Sangoma Technologies' profitability requires more research than a typical breakdown of Sangoma Technologies' financial statements. By doing a profitability analysis, companies can identify areas needing attention, and investors can make a profitable trade.
The company has Profit Margin (PM) of (0.03) %, which may suggest that it does not properly executes on its current pricing strategies or is unable to control all of the operational costs. This is way below average. Similarly, it shows Operating Margin (OM) of (0.01) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.01. | Last Reported | Projected for Next Year | ||
| Return On Tangible Assets | (0.11) | (3.00) | |
| Return On Capital Employed | 0.00 | (0.53) | |
| Return On Assets | (0.02) | (1.50) | |
| Return On Equity | (0.03) | 0.67 |
Management Efficiency
As of the 29th of November 2024, Return On Equity is likely to grow to 0.67, while Return On Tangible Assets are likely to drop (3.00). At this time, Sangoma Technologies' Debt To Assets are very stable compared to the past year. Sangoma Technologies' management efficiency ratios could be used to measure how well Sangoma Technologies manages its routine affairs as well as how well it operates its assets and liabilities.| Last Reported | Projected for Next Year | ||
| Book Value Per Share | 7.83 | (0.27) | |
| Tangible Book Value Per Share | (1.80) | (0.27) | |
| Enterprise Value Over EBITDA | 5.36 | 1.19 | |
| Price Book Value Ratio | 0.59 | (0.51) | |
| Enterprise Value Multiple | 5.36 | 1.19 | |
| Price Fair Value | 0.59 | (0.51) | |
| Enterprise Value | 226.6 M | 165 K |
Leadership effectiveness at Sangoma Technologies Corp is a strong indicator of its financial stability. We analyze various metrics to provide insights into the stock's investment viability.
Operating Margin (0.01) | Profit Margin (0.03) | Beta 1.691 | Return On Assets (0) | Return On Equity (0.03) |
Technical Drivers
As of the 29th of November, Sangoma Technologies has the Risk Adjusted Performance of 0.1024, coefficient of variation of 802.97, and Semi Deviation of 2.15. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Sangoma Technologies Corp, as well as the relationship between them.Sangoma Technologies Corp Price Movement Analysis
The output start index for this execution was nine with a total number of output elements of fifty-two. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Sangoma Technologies middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Sangoma Technologies Corp. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Sangoma Technologies Outstanding Bonds
Sangoma Technologies issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Sangoma Technologies Corp uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Sangoma bonds can be classified according to their maturity, which is the date when Sangoma Technologies Corp has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
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Sangoma Technologies Predictive Daily Indicators
Sangoma Technologies intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Sangoma Technologies stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
Sangoma Technologies Forecast Models
Sangoma Technologies' time-series forecasting models are one of many Sangoma Technologies' stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Sangoma Technologies' historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.About Sangoma Stock Analysis
Stock analysis is the technique used by a trader or investor to examine and evaluate how Sangoma Technologies prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Sangoma shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Sangoma Technologies. By using and applying Sangoma Stock analysis, traders can create a robust methodology for identifying Sangoma entry and exit points for their positions.
| Last Reported | Projected for Next Year | ||
| Pretax Profit Margin | (0.04) | 5.31 | |
| Operating Profit Margin | 0.00 | 2.12 | |
| Net Loss | (0.04) | (2.00) | |
| Gross Profit Margin | 0.70 | 0.50 |
Be your own money manager
As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding Sangoma Technologies to your portfolios without increasing risk or reducing expected return.Did you try this?
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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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.