Vector Cost Of Revenue from 2010 to 2024

VGR Stock  USD 11.02  0.08  0.72%   
Vector Cost Of Revenue yearly trend continues to be relatively stable with very little volatility. Cost Of Revenue is likely to drop to about 578.6 M. During the period from 2010 to 2024, Vector Cost Of Revenue destribution of quarterly values had range of 1 B from its regression line and mean deviation of  197,816,173. View All Fundamentals
 
Cost Of Revenue  
First Reported
1991-03-31
Previous Quarter
238.4 M
Current Value
217.9 M
Quarterly Volatility
127.5 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Vector financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Vector's main balance sheet or income statement drivers, such as Depreciation And Amortization of 15.1 M, Interest Expense of 99.9 M or Total Revenue of 938.1 M, as well as many indicators such as Price To Sales Ratio of 0.91, Dividend Yield of 0.11 or Days Sales Outstanding of 6.44. Vector financial statements analysis is a perfect complement when working with Vector Valuation or Volatility modules.
  
Check out the analysis of Vector Correlation against competitors.

Latest Vector's Cost Of Revenue Growth Pattern

Below is the plot of the Cost Of Revenue of Vector Group over the last few years. Cost of Revenue is found on Vector Group income statement and represents the costs associated with goods and services Vector provides. Indirect cost, such as salaries, is not included. In other words, cost of revenue is the total cost incurred to obtain a sale. It is more than the traditional cost of goods sold, since it includes specific selling and marketing activities. It is Vector's Cost Of Revenue historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Vector's overall financial position and show how it may be relating to other accounts over time.
Cost Of Revenue10 Years Trend
Pretty Stable
   Cost Of Revenue   
       Timeline  

Vector Cost Of Revenue Regression Statistics

Arithmetic Mean900,720,815
Geometric Mean854,567,961
Coefficient Of Variation28.73
Mean Deviation197,816,173
Median892,883,000
Standard Deviation258,785,648
Sample Variance66970T
Range1B
R-Value0.12
Mean Square Error71013.3T
R-Squared0.02
Significance0.66
Slope7,173,163
Total Sum of Squares937580.2T

Vector Cost Of Revenue History

2024578.6 M
2023965.3 M
2022998.7 M
2021769.5 M
2020819.6 M
2019774.9 M
20181.3 B

About Vector Financial Statements

There are typically three primary documents that fall into the category of financial statements. These documents include Vector income statement, its balance sheet, and the statement of cash flows. Vector investors use historical funamental indicators, such as Vector's Cost Of Revenue, to determine how well the company is positioned to perform in the future. Although Vector investors may use each financial statement separately, they are all related. The changes in Vector's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Vector's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Vector Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Vector. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Cost Of Revenue965.3 M578.6 M

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Additional Tools for Vector Stock Analysis

When running Vector's price analysis, check to measure Vector'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 Vector is operating at the current time. Most of Vector's value examination focuses on studying past and present price action to predict the probability of Vector's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Vector's price. Additionally, you may evaluate how the addition of Vector to your portfolios can decrease your overall portfolio volatility.