Vecima Accounts Payable from 2010 to 2026
| VCM Stock | CAD 11.71 0.11 0.95% |
Accounts Payable | First Reported 2005-09-30 | Previous Quarter 36.4 M | Current Value 35.3 M | Quarterly Volatility 16.8 M |
Check Vecima Networks financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Vecima Networks' main balance sheet or income statement drivers, such as Interest Expense of 12.1 M, Selling General Administrative of 19.4 M or Total Revenue of 345.2 M, as well as many indicators such as Price To Sales Ratio of 0.86, Dividend Yield of 0.0387 or PTB Ratio of 1.96. Vecima financial statements analysis is a perfect complement when working with Vecima Networks Valuation or Volatility modules.
Vecima | Accounts Payable |
Evaluating Vecima Networks's Accounts Payable 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' Accounts Payable Growth Pattern
Below is the plot of the Accounts Payable of Vecima Networks over the last few years. An accounting item on the balance sheet that represents Vecima Networks obligation to pay off a short-term debt to its creditors. The accounts payable entry is usually reported under current liabilities. If accounts payable of Vecima Networks are not paid within the agreed terms, the payables are considered to be in default, which may trigger a penalty or interest payment, or the revocation of additional credit from the supplier. Accounts payable may also be considered a source of cash, since they represent funds being borrowed from suppliers. Given these cash flow considerations, suppliers have a natural inclination to push for shorter payment terms, while creditors want to lengthen the payment terms. It is the amount a company owes to suppliers or vendors for products or services received but not yet paid for. It represents the company's short-term liabilities. Vecima Networks' Accounts Payable 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.
| Accounts Payable | 10 Years Trend |
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Accounts Payable |
| Timeline |
Vecima Accounts Payable Regression Statistics
| Arithmetic Mean | 13,592,193 | |
| Geometric Mean | 8,631,970 | |
| Coefficient Of Variation | 94.97 | |
| Mean Deviation | 11,503,897 | |
| Median | 6,249,000 | |
| Standard Deviation | 12,908,889 | |
| Sample Variance | 166.6T | |
| Range | 34.4M | |
| R-Value | 0.81 | |
| Mean Square Error | 61.1T | |
| R-Squared | 0.66 | |
| Significance | 0.000081 | |
| Slope | 2,070,587 | |
| Total Sum of Squares | 2666.2T |
Vecima Accounts Payable History
About Vecima Networks Financial Statements
Vecima Networks investors utilize fundamental indicators, such as Accounts Payable, to predict how Vecima Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Accounts Payable | 29.2 M | 30.7 M |
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
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.