Vecima Networks Stock Net Income
| VCM Stock | CAD 10.09 0.10 1.00% |
As of the 2nd of February, Vecima Networks has the Semi Deviation of 1.74, risk adjusted performance of 0.0234, and Coefficient Of Variation of 4283.28. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Vecima Networks, as well as the relationship between them.
Vecima Networks Total Revenue |
|
Gross Profit | Profit Margin | Market Capitalization | Enterprise Value Revenue 1.1039 | Revenue |
| Last Reported | Projected for Next Year | ||
| Net Loss | -16 M | -15.2 M | |
| Net Loss | -16 M | -15.2 M | |
| Net Loss | -16 M | -15.2 M | |
| Net Loss | (0.84) | (0.80) | |
| Net Income Per E B T | 0.65 | 0.64 |
Vecima | Net Income |
Evaluating Vecima Networks'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 Vecima Networks's fundamental strength.
Latest Vecima Networks' Net Income Growth Pattern
Below is the plot of the Net Income of Vecima Networks over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Vecima Networks financial statement analysis. It represents the amount of money remaining after all of Vecima Networks operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Vecima Networks' Net Loss historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Vecima Networks' overall financial position and show how it may be relating to other accounts over time.
| View | Last Reported (17.76 M) | 10 Years Trend |
|
Net Income |
| Timeline |
Vecima Net Income Regression Statistics
| Arithmetic Mean | 7,656,452 | |
| Coefficient Of Variation | 188.22 | |
| Mean Deviation | 11,966,291 | |
| Median | 10,802,000 | |
| Standard Deviation | 14,411,124 | |
| Sample Variance | 207.7T | |
| Range | 45M | |
| R-Value | (0.54) | |
| Mean Square Error | 155.9T | |
| R-Squared | 0.30 | |
| Significance | 0.02 | |
| Slope | (1,552,813) | |
| Total Sum of Squares | 3322.9T |
Vecima Net Income History
Vecima Net Income Driver Correlations
Understanding the fundamental principles of building solid financial models for Vecima Networks is extremely important. It helps to project a fair market value of Vecima Stock properly, considering its historical fundamentals such as Net Income. Since Vecima Networks' 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 Vecima Networks' 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 Vecima Networks' interrelated accounts and indicators.
Click cells to compare fundamentals
Vecima Networks '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 Vecima Networks' 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 Vecima Networks.
| 11/04/2025 |
| 02/02/2026 |
If you would invest 0.00 in Vecima Networks on November 4, 2025 and sell it all today you would earn a total of 0.00 from holding Vecima Networks or generate 0.0% return on investment in Vecima Networks over 90 days. Vecima Networks is related to or competes with Sangoma Technologies, Xtract One, Tucows, Quarterhill, WonderFi Technologies, Baylin Technologies, and Alithya Group. Vecima Networks Inc. provides technology solutions that empower network service providers to connect people and enterpri... More
Vecima Networks 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 Vecima Networks' 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 Vecima Networks upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.94 | |||
| Information Ratio | 0.0015 | |||
| Maximum Drawdown | 11.2 | |||
| Value At Risk | (2.82) | |||
| Potential Upside | 3.65 |
Vecima Networks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vecima Networks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vecima Networks' standard deviation. In reality, there are many statistical measures that can use Vecima Networks historical prices to predict the future Vecima Networks' volatility.| Risk Adjusted Performance | 0.0234 | |||
| Jensen Alpha | 0.0064 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.0015 | |||
| Treynor Ratio | 0.042 |
Vecima Networks February 2, 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 | 0.0234 | |||
| Market Risk Adjusted Performance | 0.052 | |||
| Mean Deviation | 1.48 | |||
| Semi Deviation | 1.74 | |||
| Downside Deviation | 1.94 | |||
| Coefficient Of Variation | 4283.28 | |||
| Standard Deviation | 2.05 | |||
| Variance | 4.22 | |||
| Information Ratio | 0.0015 | |||
| Jensen Alpha | 0.0064 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.0015 | |||
| Treynor Ratio | 0.042 | |||
| Maximum Drawdown | 11.2 | |||
| Value At Risk | (2.82) | |||
| Potential Upside | 3.65 | |||
| Downside Variance | 3.77 | |||
| Semi Variance | 3.03 | |||
| Expected Short fall | (1.85) | |||
| Skewness | 0.3745 | |||
| Kurtosis | 1.14 |
Vecima Networks Backtested Returns
As of now, Vecima Stock is not too volatile. Vecima Networks owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0311, which indicates the firm had a 0.0311 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Vecima Networks, which you can use to evaluate the volatility of the company. Please validate Vecima Networks' Coefficient Of Variation of 4283.28, semi deviation of 1.74, and Risk Adjusted Performance of 0.0234 to confirm if the risk estimate we provide is consistent with the expected return of 0.0654%. Vecima Networks has a performance score of 2 on a scale of 0 to 100. The entity has a beta of 0.9, which indicates possible diversification benefits within a given portfolio. Vecima Networks returns are very sensitive to returns on the market. As the market goes up or down, Vecima Networks is expected to follow. Vecima Networks right now has a risk of 2.1%. Please validate Vecima Networks semi variance, day typical price, and the relationship between the maximum drawdown and accumulation distribution , to decide if Vecima Networks will be following its existing price patterns.
Auto-correlation | 0.56 |
Modest predictability
Vecima Networks has modest predictability. Overlapping area represents the amount of predictability between Vecima Networks time series from 4th of November 2025 to 19th of December 2025 and 19th of December 2025 to 2nd 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 Vecima Networks price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current Vecima Networks price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | -0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
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 |
Vecima Accumulated Other Comprehensive Income
Accumulated Other Comprehensive Income |
|
Based on the recorded statements, Vecima Networks reported net income of (17.76 Million). This is 103.3% lower than that of the Communications Equipment sector and 106.65% lower than that of the Information Technology industry. The net income for all Canada stocks is 103.11% higher than that of the company.
Vecima Net Income Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Vecima Networks' 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 Vecima Networks could also be used in its relative valuation, which is a method of valuing Vecima Networks by comparing valuation metrics of similar companies.Vecima Networks is currently under evaluation in net income category among its peers.
Vecima Networks Current Valuation Drivers
We derive many important indicators used in calculating different scores of Vecima Networks from analyzing Vecima Networks' financial statements. These drivers represent accounts that assess Vecima Networks' ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Vecima Networks' important valuation drivers and their relationship over time.
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (projected) | ||
| Market Cap | 375.0M | 416.2M | 507.8M | 224.2M | 201.8M | 165.6M | |
| Enterprise Value | 379.0M | 450.8M | 575.2M | 282.9M | 254.6M | 167.9M |
Vecima Fundamentals
| Return On Equity | -0.0877 | ||||
| Return On Asset | -0.021 | ||||
| Profit Margin | (0.07) % | ||||
| Operating Margin | 0.03 % | ||||
| Current Valuation | 303.61 M | ||||
| Shares Outstanding | 24.31 M | ||||
| Shares Owned By Insiders | 57.29 % | ||||
| Shares Owned By Institutions | 15.43 % | ||||
| Number Of Shares Shorted | 759 | ||||
| Price To Earning | 793.64 X | ||||
| Price To Book | 1.13 X | ||||
| Price To Sales | 0.89 X | ||||
| Revenue | 285.86 M | ||||
| Gross Profit | 105.15 M | ||||
| EBITDA | (851 K) | ||||
| Net Income | (17.76 M) | ||||
| Cash Per Share | 2.11 X | ||||
| Total Debt | 62.2 M | ||||
| Debt To Equity | 1.10 % | ||||
| Current Ratio | 5.09 X | ||||
| Book Value Per Share | 8.81 X | ||||
| Cash Flow From Operations | 54.63 M | ||||
| Short Ratio | 0.16 X | ||||
| Earnings Per Share | (0.81) X | ||||
| Target Price | 17.33 | ||||
| Number Of Employees | 600 | ||||
| Beta | 0.16 | ||||
| Market Capitalization | 245.33 M | ||||
| Total Asset | 332.07 M | ||||
| Retained Earnings | 181.86 M | ||||
| Working Capital | 51.16 M | ||||
| Annual Yield | 0.02 % | ||||
| Five Year Return | 2.58 % | ||||
| Net Asset | 332.07 M | ||||
| Last Dividend Paid | 0.22 |
About Vecima Networks Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Vecima Networks's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Vecima Networks using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Vecima Networks 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 Vecima Networks
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 Vecima Networks 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 Vecima Networks will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Vecima Networks could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Vecima Networks 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 Vecima Networks - 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 Vecima Networks to buy it.
The correlation of Vecima Networks 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 Vecima Networks moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Vecima Networks 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 Vecima Networks 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.Other Information on Investing in Vecima Stock
Vecima Networks financial ratios help investors to determine whether Vecima Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Vecima with respect to the benefits of owning Vecima Networks security.