Arista Short Term Debt from 2010 to 2024

ANET Stock  USD 404.97  23.26  6.09%   
Arista Networks Short Term Debt yearly trend continues to be comparatively stable with very little volatility. Short Term Debt will likely drop to about 88.4 M in 2024. From the period from 2010 to 2024, Arista Networks Short Term Debt quarterly data regression had r-value of  0.50 and coefficient of variation of  96.98. View All Fundamentals
 
Short Term Debt  
First Reported
2013-12-31
Previous Quarter
107.2 M
Current Value
107.8 M
Quarterly Volatility
51.3 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' Short Term Debt Growth Pattern

Below is the plot of the Short Term Debt of Arista Networks over the last few years. It is Arista Networks' Short Term Debt 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.
Short Term Debt10 Years Trend
Slightly volatile
   Short Term Debt   
       Timeline  

Arista Short Term Debt Regression Statistics

Arithmetic Mean71,838,584
Geometric Mean26,316,766
Coefficient Of Variation96.98
Mean Deviation59,107,612
Median88,444,766
Standard Deviation69,667,518
Sample Variance4853.6T
Range225.8M
R-Value0.50
Mean Square Error3896.8T
R-Squared0.25
Significance0.06
Slope7,858,555
Total Sum of Squares67949.9T

Arista Short Term Debt History

202488.4 M
202395.8 M
202219.9 M
2021226.6 M
2020143.4 M
2019140.2 M
2018839 K

About Arista Networks Financial Statements

Arista Networks shareholders use historical fundamental indicators, such as Short Term Debt, 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
Short Term Debt95.8 M88.4 M

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  

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.