Vecima Ptb Ratio vs Book Value Per Share Analysis
VCM Stock | CAD 20.22 0.22 1.10% |
Vecima Networks financial indicator trend analysis is much more than just breaking down Vecima Networks prevalent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Vecima Networks is a good investment. Please check the relationship between Vecima Networks Ptb Ratio and its Book Value Per Share accounts. Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Vecima Networks. 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.
Ptb Ratio vs Book Value Per Share
Ptb Ratio vs Book Value Per Share Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Vecima Networks Ptb Ratio account and Book Value Per Share. At this time, the significance of the direction appears to have strong contrarian relationship.
The correlation between Vecima Networks' Ptb Ratio and Book Value Per Share is -0.63. Overlapping area represents the amount of variation of Ptb Ratio that can explain the historical movement of Book Value Per Share in the same time period over historical financial statements of Vecima Networks, assuming nothing else is changed. The correlation between historical values of Vecima Networks' Ptb Ratio and Book Value Per Share is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Ptb Ratio of Vecima Networks are associated (or correlated) with its Book Value Per Share. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Book Value Per Share has no effect on the direction of Ptb Ratio i.e., Vecima Networks' Ptb Ratio and Book Value Per Share go up and down completely randomly.
Correlation Coefficient | -0.63 |
Relationship Direction | Negative |
Relationship Strength | Weak |
Ptb Ratio
Price-to-Book ratio, a financial valuation metric used to compare a company's current market price to its book value. It provides insight into the value that market participants place on the company's equity relative to its net asset value.Book Value Per Share
The ratio of equity available to common shareholders divided by the number of outstanding shares. This measure represents the value per share of a company according to its financial statements.Most indicators from Vecima Networks' fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Vecima Networks current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Vecima Networks. 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. At this time, Vecima Networks' Selling General Administrative is very stable compared to the past year. As of the 3rd of November 2024, Discontinued Operations is likely to grow to about 2.3 M, while Issuance Of Capital Stock is likely to drop 0.00.
2021 | 2022 | 2023 | 2024 (projected) | Gross Profit | 90.0M | 142.0M | 136.7M | 143.5M | Total Revenue | 186.8M | 303.4M | 291.0M | 305.6M |
Vecima Networks fundamental ratios Correlations
Click cells to compare fundamentals
Vecima Networks Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Vecima Networks fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 210.3M | 214.7M | 262.6M | 331.7M | 387.8M | 407.2M | |
Short Long Term Debt Total | 6.3M | 5.7M | 16.9M | 36.9M | 42.4M | 44.6M | |
Total Stockholder Equity | 179.8M | 174.9M | 179.7M | 217.7M | 235.0M | 152.4M | |
Net Debt | (11.0M) | (23.2M) | 4.0M | 34.6M | 62.6M | 65.8M | |
Cash | 17.4M | 28.9M | 12.9M | 2.3M | 2.1M | 2.0M | |
Other Assets | 78.3M | 88.0M | 92.7M | 108.5M | 124.8M | 65.0M | |
Cash And Short Term Investments | 34.5M | 28.9M | 12.9M | 2.3M | 2.6M | 2.5M | |
Common Stock Shares Outstanding | 22.4M | 22.7M | 23.1M | 23.7M | 24.3M | 23.9M | |
Liabilities And Stockholders Equity | 210.3M | 214.7M | 262.6M | 331.7M | 381.4M | 400.5M | |
Non Current Liabilities Total | 6.2M | 6.9M | 20.0M | 19.2M | 20.1M | 21.1M | |
Other Stockholder Equity | 5.9M | 2.3M | 2.9M | 2.7M | 2.5M | 2.3M | |
Total Liab | 30.5M | 39.8M | 82.9M | 114.0M | 152.9M | 160.5M | |
Total Current Assets | 79.7M | 77.7M | 121.5M | 178.5M | 217.6M | 228.5M | |
Other Current Liab | 11.1M | 17.9M | 27.6M | 9.8M | 1.8M | 1.7M | |
Total Current Liabilities | 24.4M | 32.9M | 62.9M | 94.8M | 132.7M | 139.4M | |
Property Plant And Equipment Net | 15.8M | 17.5M | 19.1M | 18.0M | 16.6M | 17.9M | |
Current Deferred Revenue | 5.0M | 7.1M | 12.1M | 15.1M | 17.3M | 18.2M | |
Retained Earnings | 170.7M | 165.3M | 168.9M | 190.9M | 205.0M | 138.7M | |
Accounts Payable | 6.6M | 6.2M | 21.4M | 47.2M | 36.3M | 38.2M | |
Non Current Assets Total | 130.6M | 137.0M | 141.1M | 153.2M | 170.2M | 99.6M | |
Non Currrent Assets Other | 1.3M | 1.3M | 1.4M | 1.3M | 1.3M | 1.2M | |
Net Receivables | 25.8M | 29.7M | 51.7M | 60.9M | 69.2M | 72.6M | |
Inventory | 17.2M | 15.6M | 49.6M | 101.6M | 136.0M | 142.8M | |
Other Current Assets | 2.1M | 3.5M | 7.3M | 13.7M | 2.3M | 2.2M | |
Property Plant And Equipment Gross | 15.8M | 51.4M | 55.6M | 18.0M | 59.1M | 30.5M | |
Short Term Debt | 1.7M | 1.6M | 1.8M | 22.8M | 26.2M | 27.5M | |
Accumulated Other Comprehensive Income | 5.9M | 2.3M | 2.9M | 2.7M | 3.1M | 3.3M | |
Intangible Assets | 69.2M | 72.2M | 75.9M | 83.0M | 93.9M | 98.6M | |
Good Will | 15.5M | 14.5M | 14.8M | 15.0M | 15.3M | 7.7M | |
Common Stock | 3.2M | 7.3M | 7.9M | 24.0M | 27.6M | 29.0M | |
Other Liab | 1.5M | 2.8M | 4.8M | 5.1M | 5.9M | 6.2M | |
Net Tangible Assets | 143.2M | 143.4M | 150.5M | 191.0M | 219.6M | 168.2M | |
Long Term Debt | 1.5M | 4.1M | 15.1M | 12.9M | 11.8M | 5.9M | |
Deferred Long Term Liab | 48.1M | 55.3M | 61.5M | 71.4M | 82.1M | 42.5M | |
Short Long Term Debt | 1.7M | 1.6M | 1.8M | 22.8M | 53.0M | 55.7M | |
Property Plant Equipment | 15.8M | 17.5M | 19.1M | 18.0M | 16.2M | 13.3M | |
Long Term Debt Total | 4.6M | 4.1M | 15.1M | 14.1M | 16.2M | 17.1M |
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
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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
Balance Sheet is a snapshot of the financial position of Vecima Networks at a specified time, usually calculated after every quarter, six months, or one year. Vecima Networks Balance Sheet has two main parts: assets and liabilities. Liabilities are the debts or obligations of Vecima Networks and are divided into current liabilities and long term liabilities. An asset, on the other hand, is anything of value that can be converted into cash and which Vecima currently owns. An asset can also be divided into two categories, current and non-current.