Vicor Begin Period Cash Flow from 2010 to 2024

VICR Stock  USD 53.21  0.11  0.21%   
Vicor Begin Period Cash Flow yearly trend continues to be relatively stable with very little volatility. Begin Period Cash Flow is likely to grow to about 200.1 M this year. Begin Period Cash Flow is the amount of cash Vicor has at the beginning of a financial reporting period. It serves as the starting point for calculating the period's cash flow from operations, investing, and financing activities. View All Fundamentals
 
Begin Period Cash Flow  
First Reported
1991-03-31
Previous Quarter
239.2 M
Current Value
251.9 M
Quarterly Volatility
56.2 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Vicor financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Vicor's main balance sheet or income statement drivers, such as Depreciation And Amortization of 12.2 M, Interest Expense of 1.2 M or Total Revenue of 211.5 M, as well as many indicators such as Price To Sales Ratio of 4.67, Ptb Ratio of 5.59 or Capex To Depreciation of 1.22. Vicor financial statements analysis is a perfect complement when working with Vicor Valuation or Volatility modules.
  
Check out the analysis of Vicor Correlation against competitors.
To learn how to invest in Vicor Stock, please use our How to Invest in Vicor guide.

Latest Vicor's Begin Period Cash Flow Growth Pattern

Below is the plot of the Begin Period Cash Flow of Vicor over the last few years. It is the amount of cash a company has at the beginning of a financial reporting period. It serves as the starting point for calculating the period's cash flow from operations, investing, and financing activities. Vicor's Begin Period Cash Flow historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Vicor's overall financial position and show how it may be relating to other accounts over time.
Begin Period Cash Flow10 Years Trend
Slightly volatile
   Begin Period Cash Flow   
       Timeline  

Vicor Begin Period Cash Flow Regression Statistics

Arithmetic Mean91,465,637
Geometric Mean63,781,878
Coefficient Of Variation66.97
Mean Deviation49,206,667
Median70,557,000
Standard Deviation61,255,346
Sample Variance3752.2T
Range198.9M
R-Value0.83
Mean Square Error1229.7T
R-Squared0.70
Significance0.0001
Slope11,424,507
Total Sum of Squares52531T

Vicor Begin Period Cash Flow History

2024200.1 M
2023190.6 M
2022182.4 M
2021161.7 M
202084.7 M
201970.6 M
201844.2 M

About Vicor Financial Statements

Vicor shareholders use historical fundamental indicators, such as Begin Period Cash Flow, to determine how well the company is positioned to perform in the future. Although Vicor investors may analyze each financial statement separately, they are all interrelated. The changes in Vicor's assets and liabilities, for example, are also reflected in the revenues and expenses on on Vicor's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Begin Period Cash Flow190.6 M200.1 M

Pair Trading with Vicor

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 Vicor 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 Vicor will appreciate offsetting losses from the drop in the long position's value.

Moving together with Vicor Stock

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Moving against Vicor Stock

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The ability to find closely correlated positions to Vicor could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Vicor 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 Vicor - 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 Vicor to buy it.
The correlation of Vicor 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 Vicor moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Vicor 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 Vicor 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.
Pair CorrelationCorrelation Matching

Additional Tools for Vicor Stock Analysis

When running Vicor's price analysis, check to measure Vicor's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Vicor is operating at the current time. Most of Vicor's value examination focuses on studying past and present price action to predict the probability of Vicor's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Vicor's price. Additionally, you may evaluate how the addition of Vicor to your portfolios can decrease your overall portfolio volatility.