ANSYS Cash Conversion Cycle from 2010 to 2024

ANSS Stock  USD 350.00  1.06  0.30%   
ANSYS Cash Conversion Cycle yearly trend continues to be comparatively stable with very little volatility. Cash Conversion Cycle is likely to outpace its year average in 2024. From the period from 2010 to 2024, ANSYS Cash Conversion Cycle quarterly data regression had r-value of  0.34 and coefficient of variation of  44.45. View All Fundamentals
 
Cash Conversion Cycle  
First Reported
2010-12-31
Previous Quarter
152.71537757
Current Value
160.35
Quarterly Volatility
41.15520982
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check ANSYS financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among ANSYS's main balance sheet or income statement drivers, such as Depreciation And Amortization of 163.8 M, Interest Expense of 49.5 M or Selling General Administrative of 897.9 M, as well as many indicators such as Price To Sales Ratio of 14.58, Dividend Yield of 0.0 or PTB Ratio of 3.46. ANSYS financial statements analysis is a perfect complement when working with ANSYS Valuation or Volatility modules.
  
Check out the analysis of ANSYS Correlation against competitors.

Latest ANSYS's Cash Conversion Cycle Growth Pattern

Below is the plot of the Cash Conversion Cycle of ANSYS Inc over the last few years. It is ANSYS's Cash Conversion Cycle historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in ANSYS's overall financial position and show how it may be relating to other accounts over time.
Cash Conversion Cycle10 Years Trend
Slightly volatile
   Cash Conversion Cycle   
       Timeline  

ANSYS Cash Conversion Cycle Regression Statistics

Arithmetic Mean92.59
Geometric Mean80.38
Coefficient Of Variation44.45
Mean Deviation30.91
Median98.06
Standard Deviation41.16
Sample Variance1,694
Range146
R-Value0.34
Mean Square Error1,611
R-Squared0.12
Significance0.21
Slope3.14
Total Sum of Squares23,713

ANSYS Cash Conversion Cycle History

2024 160.35
2023 152.72
2022 81.5
2021 86.2
2020 62.51
2019 122.19
2018 39.49

About ANSYS Financial Statements

ANSYS shareholders use historical fundamental indicators, such as Cash Conversion Cycle, to determine how well the company is positioned to perform in the future. Although ANSYS investors may analyze each financial statement separately, they are all interrelated. The changes in ANSYS's assets and liabilities, for example, are also reflected in the revenues and expenses on on ANSYS'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
Cash Conversion Cycle 152.72  160.35 

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 ANSYS Stock Analysis

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