Arista Cost Of Revenue from 2010 to 2024

ANET Stock  USD 113.40  4.33  3.97%   
Arista Networks Cost Of Revenue yearly trend continues to be comparatively stable with very little volatility. Cost Of Revenue is likely to outpace its year average in 2024. From the period from 2010 to 2024, Arista Networks Cost Of Revenue quarterly data regression had r-value of  0.93 and coefficient of variation of  99.71. View All Fundamentals
 
Cost Of Revenue  
First Reported
2013-03-31
Previous Quarter
593.2 M
Current Value
649.2 M
Quarterly Volatility
182.4 M
 
Yuan Drop
 
Covid
Check Arista Networks financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Arista Networks' main balance sheet or income statement drivers, such as Depreciation And Amortization of 74.2 M, Interest Expense of 66 M or Selling General Administrative of 67.1 M, as well as many indicators such as Price To Sales Ratio of 11.9, Dividend Yield of 0.0 or PTB Ratio of 9.59. Arista financial statements analysis is a perfect complement when working with Arista Networks Valuation or Volatility modules.
  
Check out the analysis of Arista Networks Correlation against competitors.
For more information on how to buy Arista Stock please use our How to Invest in Arista Networks guide.

Latest Arista Networks' Cost Of Revenue Growth Pattern

Below is the plot of the Cost Of Revenue of Arista Networks over the last few years. Cost of Revenue is found on Arista Networks income statement and represents the costs associated with goods and services Arista Networks 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 Arista Networks' Cost Of Revenue historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Arista Networks' overall financial position and show how it may be relating to other accounts over time.
Cost Of Revenue10 Years Trend
Slightly volatile
   Cost Of Revenue   
       Timeline  

Arista Cost Of Revenue Regression Statistics

Arithmetic Mean771,420,690
Geometric Mean398,464,246
Coefficient Of Variation99.71
Mean Deviation589,890,869
Median584,417,000
Standard Deviation769,170,174
Sample Variance591622.8T
Range2.3B
R-Value0.93
Mean Square Error89365.5T
R-Squared0.86
Slope159,474,212
Total Sum of Squares8282718.6T

Arista Cost Of Revenue History

20242.3 B
20232.2 B
20221.7 B
20211.1 B
2020835.6 M
2019866.4 M
2018778 M

About Arista Networks Financial Statements

Arista Networks shareholders use historical fundamental indicators, such as Cost Of Revenue, to determine how well the company is positioned to perform in the future. Although Arista Networks investors may analyze each financial statement separately, they are all interrelated. The changes in Arista Networks' assets and liabilities, for example, are also reflected in the revenues and expenses on on Arista Networks' 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
Cost Of Revenue2.2 B2.3 B

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Additional Tools for Arista Stock Analysis

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