Sangoma Technologies Corp Stock Net Income
| STC Stock | 6.36 0.16 2.58% |
As of the 25th of February, Sangoma Technologies has the Variance of 2.58, coefficient of variation of (728.88), and Risk Adjusted Performance of (0.10). 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 Total Revenue |
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Gross Profit | Profit Margin | Market Capitalization | Enterprise Value Revenue 0.9294 | Revenue |
| Last Reported | Projected for Next Year | ||
| Net Loss | -4.5 M | -4.7 M | |
| Net Loss | -4.5 M | -4.7 M | |
| Net Loss | -4.5 M | -4.7 M | |
| Net Loss | (0.17) | (0.18) | |
| Net Income Per E B T | 0.91 | 0.78 |
Sangoma | Net Income |
Evaluating Sangoma Technologies's Net Income 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' Net Income Growth Pattern
Below is the plot of the Net Income of Sangoma Technologies Corp over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Sangoma Technologies Corp financial statement analysis. It represents the amount of money remaining after all of Sangoma Technologies Corp operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Sangoma Technologies' Net Loss 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.
| View | Last Reported (5.01 M) | 10 Years Trend |
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Net Income |
| Timeline |
Sangoma Net Income Regression Statistics
| Arithmetic Mean | (9,397,174) | |
| Geometric Mean | 1,735,239 | |
| Coefficient Of Variation | (288.79) | |
| Mean Deviation | 14,236,665 | |
| Median | 88,448 | |
| Standard Deviation | 27,138,302 | |
| Sample Variance | 736.5T | |
| Range | 112.9M | |
| R-Value | (0.26) | |
| Mean Square Error | 732.1T | |
| R-Squared | 0.07 | |
| Significance | 0.31 | |
| Slope | (1,402,226) | |
| Total Sum of Squares | 11783.8T |
Sangoma Net Income History
Sangoma Net Income Driver Correlations
Understanding the fundamental principles of building solid financial models for Sangoma Technologies is extremely important. It helps to project a fair market value of Sangoma Stock properly, considering its historical fundamentals such as Net Income. Since Sangoma Technologies' main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Sangoma Technologies' historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Sangoma Technologies' interrelated accounts and indicators.
Click cells to compare fundamentals
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.
| 11/27/2025 |
| 02/25/2026 |
If you would invest 0.00 in Sangoma Technologies on November 27, 2025 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 90 days. Sangoma Technologies is related to or competes with Xtract One, Vecima Networks, Tucows, WonderFi Technologies, Haivision Systems, Dye Durham, and Sylogist. Sangoma Technologies is entity of Canada 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.
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 6.8 | |||
| Value At Risk | (2.88) | |||
| Potential Upside | 2.48 |
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 | (0.10) | |||
| Jensen Alpha | (0.26) | |||
| Total Risk Alpha | (0.42) | |||
| Treynor Ratio | (0.67) |
Sangoma Technologies February 25, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.10) | |||
| Market Risk Adjusted Performance | (0.66) | |||
| Mean Deviation | 1.24 | |||
| Coefficient Of Variation | (728.88) | |||
| Standard Deviation | 1.61 | |||
| Variance | 2.58 | |||
| Information Ratio | (0.20) | |||
| Jensen Alpha | (0.26) | |||
| Total Risk Alpha | (0.42) | |||
| Treynor Ratio | (0.67) | |||
| Maximum Drawdown | 6.8 | |||
| Value At Risk | (2.88) | |||
| Potential Upside | 2.48 | |||
| Skewness | 0.1968 | |||
| Kurtosis | (0.06) |
Sangoma Technologies Corp Backtested Returns
Sangoma Technologies Corp owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.15, which indicates the firm had a -0.15 % return per unit of risk over the last 3 months. Sangoma Technologies Corp exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sangoma Technologies' Variance of 2.58, risk adjusted performance of (0.10), and Coefficient Of Variation of (728.88) to confirm the risk estimate we provide. The entity has a beta of 0.34, 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. At this point, Sangoma Technologies Corp has a negative expected return of -0.25%. Please make sure to validate Sangoma Technologies' skewness, as well as the relationship between the rate of daily change and period momentum indicator , to decide if Sangoma Technologies Corp performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.75 |
Good predictability
Sangoma Technologies Corp has good predictability. Overlapping area represents the amount of predictability between Sangoma Technologies time series from 27th of November 2025 to 11th of January 2026 and 11th of January 2026 to 25th of February 2026. 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 0.75 indicates that around 75.0% of current Sangoma Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.75 | |
| Spearman Rank Test | 0.8 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
| Competition |
Sangoma Accumulated Other Comprehensive Income
Accumulated Other Comprehensive Income |
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Based on the recorded statements, Sangoma Technologies Corp reported net income of (5.01 Million). This is 100.93% lower than that of the Software sector and significantly lower than that of the Information Technology industry. The net income for all Canada stocks is 100.88% higher than that of the company.
Sangoma Net Income Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Sangoma Technologies' direct or indirect competition against its Net Income to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Sangoma Technologies could also be used in its relative valuation, which is a method of valuing Sangoma Technologies by comparing valuation metrics of similar companies.Sangoma Technologies is currently under evaluation in net income category among its peers.
Sangoma Technologies Current Valuation Drivers
We derive many important indicators used in calculating different scores of Sangoma Technologies from analyzing Sangoma Technologies' financial statements. These drivers represent accounts that assess Sangoma Technologies' ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Sangoma Technologies' important valuation drivers and their relationship over time.
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (projected) | ||
| Market Cap | 342.5M | 164.9M | 210.8M | 282.7M | 254.4M | 267.2M | |
| Enterprise Value | 452.4M | 268.9M | 283.7M | 325.3M | 292.8M | 307.4M |
Sangoma Fundamentals
| Return On Equity | -0.0219 | ||||
| Return On Asset | -0.0053 | ||||
| Profit Margin | (0.03) % | ||||
| Operating Margin | (0.03) % | ||||
| Current Valuation | 307.14 M | ||||
| Shares Outstanding | 33.22 M | ||||
| Shares Owned By Insiders | 26.77 % | ||||
| Shares Owned By Institutions | 33.06 % | ||||
| Number Of Shares Shorted | 198.56 K | ||||
| Price To Book | 0.70 X | ||||
| Price To Sales | 0.94 X | ||||
| Revenue | 236.69 M | ||||
| Gross Profit | 155.13 M | ||||
| EBITDA | 42.95 M | ||||
| Net Income | (5.01 M) | ||||
| Total Debt | 56.11 M | ||||
| Book Value Per Share | 10.28 X | ||||
| Cash Flow From Operations | 41.79 M | ||||
| Short Ratio | 7.82 X | ||||
| Earnings Per Share | (0.23) X | ||||
| Target Price | 11.03 | ||||
| Number Of Employees | 645 | ||||
| Beta | 1.06 | ||||
| Market Capitalization | 205.95 M | ||||
| Total Asset | 346.55 M | ||||
| Retained Earnings | (146.94 M) | ||||
| Working Capital | (6.85 M) | ||||
| Net Asset | 346.55 M |
About Sangoma Technologies Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Sangoma Technologies Corp's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Sangoma Technologies using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Sangoma Technologies Corp based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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 Earnings Call Today | PairCorr |
| 0.93 | HLF | High Liner Foods Earnings Call Today | PairCorr |
| 0.92 | MU | Micron Technology | PairCorr |
| 0.91 | PESO | Pesorama | PairCorr |
| 0.85 | 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 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 inflation. You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.