Vecima Networks Stock Price To Book
| VCM Stock | CAD 18.89 0.29 1.56% |
Vecima Networks fundamentals help investors to digest information that contributes to Vecima Networks' financial success or failures. It also enables traders to predict the movement of Vecima Stock. The fundamental analysis module provides a way to measure Vecima Networks' intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Vecima Networks stock.
As of the 12th of November 2024, Price To Book Ratio is likely to drop to 2.00. Vecima | Price To Book |
Vecima Networks Company Price To Book Analysis
Vecima Networks' Price to Book (P/B) ratio is used to relate a company book value to its current market price. A high P/B ratio indicates that investors expect executives to generate more returns on their investments from a given set of assets. Book value is the accounting value of assets minus liabilities.
Current Vecima Networks Price To Book | 1.92 X |
Most of Vecima Networks' fundamental indicators, such as Price To Book, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Vecima Networks is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Vecima Price To Book 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 Price To Book. 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.
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Price to Book ratio is mostly used in financial services industries where assets and liabilities are typically represented by dollars. Although low Price to Book ratio generally implies that the firm is undervalued, it is often a good indicator that the company may be in financial or managerial distress and should be investigated more carefully.
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Vecima Book Value Per Share
Book Value Per Share |
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Based on the latest financial disclosure, Vecima Networks has a Price To Book of 1.9246 times. This is 82.92% lower than that of the Communications Equipment sector and 31.75% lower than that of the Information Technology industry. The price to book for all Canada stocks is 79.76% higher than that of the company.
Vecima Price To Book 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 Price To Book 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 price to book 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.
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Market Cap | 234.2M | 369.7M | 375.0M | 416.2M | 507.9M | 533.3M | |
| Enterprise Value | 223.2M | 346.5M | 379.0M | 450.8M | 575.3M | 604.1M |
Vecima Fundamentals
| Return On Equity | 0.0857 | ||||
| Return On Asset | 0.0528 | ||||
| Profit Margin | 0.07 % | ||||
| Operating Margin | 0.14 % | ||||
| Current Valuation | 519.64 M | ||||
| Shares Outstanding | 24.31 M | ||||
| Shares Owned By Insiders | 57.13 % | ||||
| Shares Owned By Institutions | 15.50 % | ||||
| Number Of Shares Shorted | 1.46 K | ||||
| Price To Earning | 793.64 X | ||||
| Price To Book | 1.92 X | ||||
| Price To Sales | 1.58 X | ||||
| Revenue | 291.05 M | ||||
| Gross Profit | 141.97 M | ||||
| EBITDA | 38.42 M | ||||
| Net Income | 19.39 M | ||||
| Cash Per Share | 2.11 X | ||||
| Total Debt | 53 M | ||||
| Debt To Equity | 1.10 % | ||||
| Current Ratio | 5.09 X | ||||
| Book Value Per Share | 9.66 X | ||||
| Cash Flow From Operations | 2.71 M | ||||
| Short Ratio | 1.04 X | ||||
| Earnings Per Share | 0.80 X | ||||
| Target Price | 27.5 | ||||
| Number Of Employees | 608 | ||||
| Beta | 0.64 | ||||
| Market Capitalization | 459.26 M | ||||
| Total Asset | 387.82 M | ||||
| Retained Earnings | 204.97 M | ||||
| Working Capital | 84.86 M | ||||
| Annual Yield | 0.01 % | ||||
| Five Year Return | 2.58 % | ||||
| Net Asset | 387.82 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.Moving against Vecima Stock
| 0.57 | IFC | Intact Financial | PairCorr |
| 0.47 | FSV | FirstService Corp | PairCorr |
| 0.44 | FFH | Fairfax Financial | PairCorr |
| 0.42 | WSP | WSP Global | PairCorr |
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.