Synopsys Stock Based Compensation To Revenue from 2010 to 2024

SNPS Stock  USD 558.49  10.75  1.96%   
Synopsys Stock Based Compensation To Revenue yearly trend continues to be comparatively stable with very little volatility. Stock Based Compensation To Revenue is likely to outpace its year average in 2024. Stock Based Compensation To Revenue is a metric that compares the total value of stock-based compensation granted by Synopsys to its total revenue, indicating how much of the revenue is used to compensate employees with stock options or awards. View All Fundamentals
 
Stock Based Compensation To Revenue  
First Reported
2010-12-31
Previous Quarter
0.0868
Current Value
0.0911
Quarterly Volatility
0.02658299
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Synopsys financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Synopsys' main balance sheet or income statement drivers, such as Depreciation And Amortization of 416.4 M, Interest Expense of 1 M or Total Revenue of 7.1 B, as well as many indicators such as Price To Sales Ratio of 14.76, Dividend Yield of 0.0 or PTB Ratio of 14.03. Synopsys financial statements analysis is a perfect complement when working with Synopsys Valuation or Volatility modules.
  
Check out the analysis of Synopsys Correlation against competitors.
For more information on how to buy Synopsys Stock please use our How to Invest in Synopsys guide.

Latest Synopsys' Stock Based Compensation To Revenue Growth Pattern

Below is the plot of the Stock Based Compensation To Revenue of Synopsys over the last few years. It is a metric that compares the total value of stock-based compensation granted by a company to its total revenue, indicating how much of the revenue is used to compensate employees with stock options or awards. Synopsys' Stock Based Compensation To Revenue historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Synopsys' overall financial position and show how it may be relating to other accounts over time.
Stock Based Compensation To Revenue10 Years Trend
Slightly volatile
   Stock Based Compensation To Revenue   
       Timeline  

Synopsys Stock Based Compensation To Revenue Regression Statistics

Arithmetic Mean0.06
Geometric Mean0.05
Coefficient Of Variation47.01
Mean Deviation0.02
Median0.04
Standard Deviation0.03
Sample Variance0.0007
Range0.0857
R-Value0.93
Mean Square Error0.0001
R-Squared0.86
Slope0.01
Total Sum of Squares0.01

Synopsys Stock Based Compensation To Revenue History

2024 0.0911
2023 0.0868
2022 0.0964
2021 0.0903
2020 0.0821
2019 0.0675
2018 0.0461

About Synopsys Financial Statements

Synopsys shareholders use historical fundamental indicators, such as Stock Based Compensation To Revenue, to determine how well the company is positioned to perform in the future. Although Synopsys investors may analyze each financial statement separately, they are all interrelated. The changes in Synopsys' assets and liabilities, for example, are also reflected in the revenues and expenses on on Synopsys' 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
Stock Based Compensation To Revenue 0.09  0.09 

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Additional Tools for Synopsys Stock Analysis

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