Vecima Short Long Term Debt Total from 2010 to 2026
| VCM Stock | CAD 12.40 0.19 1.56% |
Short and Long Term Debt Total | First Reported 2005-09-30 | Previous Quarter 69.3 M | Current Value 73.4 M | Quarterly Volatility 21.4 M |
Use the financial statements timeline for Vecima Networks to frame performance drivers and balance sheet structure. This context pairs drivers like Interest Expense of 12.1 M, Selling General Administrative of 19.4 M or Total Revenue of 345.2 M and ratios such as Price To Sales Ratio of 0.86, Dividend Yield of 0.0387 or PTB Ratio of 1.96 with Vecima Networks Valuation and Volatility views.
Vecima | Short Long Term Debt Total |
Evaluating Vecima Networks's Short Long Term Debt Total 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' Short Long Term Debt Total Growth Pattern
Below is the plot of the Short Long Term Debt Total of Vecima Networks over the last few years. It is Vecima Networks' Short and Long Term Debt Total 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.
| Short Long Term Debt Total | 10 Years Trend |
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Short Long Term Debt Total |
| Timeline |
Vecima Short Long Term Debt Total Regression Statistics
| Arithmetic Mean | 21,920,697 | |
| Geometric Mean | 8,824,407 | |
| Coefficient Of Variation | 130.60 | |
| Mean Deviation | 24,199,573 | |
| Median | 4,507,000 | |
| Standard Deviation | 28,627,356 | |
| Sample Variance | 819.5T | |
| Range | 73.1M | |
| R-Value | 0.82 | |
| Mean Square Error | 280T | |
| R-Squared | 0.68 | |
| Significance | 0.000047 | |
| Slope | 4,673,612 | |
| Total Sum of Squares | 13112.4T |
Vecima Short Long Term Debt Total History
Vecima Networks Valuation Metrics
Vecima Networks is a small-cap equity in Communications Equipment, Technology Hardware & Equipment, Information Technology categories. Revenue consistency stabilizes valuation context. We review the company from a portfolio-construction standpoint emphasizing diversification and stability.
Methodology
Unless otherwise specified, financial data for Vecima Networks is derived from periodic company reporting (annual and quarterly where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on asset type. Vecima (CA:VCM) prices are typically delayed by approximately 20 minutes from primary exchanges for listed equities. Data may be delayed depending on reporting sources and market conventions Valuation estimates and intrinsic-value models use inputs from public financial disclosures and may not represent market consensus.
Assumptions
Information for Vecima Networks is compiled from public filings and market reference sources and official sources including U.S. Securities and Exchange Commission (SEC) via EDGAR. Reporting latency may occur in some cases. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.Analyst Sources
Vecima Networks may have analyst coverage included in Macroaxis-derived consensus inputs when available. Updates may occur throughout the day.
Pair Trading with Vecima Networks
Pair trading with Vecima Networks can help investors hedge some company-specific exposure by balancing a long view with an offsetting position. The key question is whether the second leg adds real hedge value instead of just creating a more complex version of the same risk.
Moving against Vecima Stock
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| 0.69 | AMZN | Amazon CDR | PairCorr |
| 0.69 | AMZN | Amazon CDR | PairCorr |
| 0.65 | TSLA | Tesla CDR | PairCorr |
Correlation matrices help investors optimize their Vecima Networks tax-loss harvesting strategy by identifying the best available substitutes. The higher the correlation to Vecima Networks, the less the portfolio's risk profile will shift during the wash-sale waiting period.
The pairwise correlation of Vecima Networks measures the historical tendency for two assets to move in the same or opposite directions. High correlations between Vecima Networks and another holding indicate concentrated risk that may amplify losses in adverse market conditions.
Use Correlation analysis and pair trading evaluation for Vecima Networks to review hedging context. The method can be applied across sectors and broader equity sets.More Resources for Vecima Stock Analysis
Other Information on Investing in Vecima Stock
Financial ratios for Vecima Networks help frame valuation context across profits, cash flow, and enterprise value. They help compare Vecima across valuation measures and peers.