ANSYS Capital Lease Obligations from 2010 to 2024

ANSS Stock  USD 352.14  2.14  0.61%   
ANSYS Capital Lease Obligations yearly trend continues to be comparatively stable with very little volatility. Capital Lease Obligations is likely to outpace its year average in 2024. Capital Lease Obligations is the total obligations of ANSYS Inc under capital leases, which are lease agreements that transfer substantially all risks and rewards of ownership to the lessee. View All Fundamentals
 
Capital Lease Obligations  
First Reported
2014-03-31
Previous Quarter
91.7 M
Current Value
88.8 M
Quarterly Volatility
29.7 M
 
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 Capital Lease Obligations Growth Pattern

Below is the plot of the Capital Lease Obligations of ANSYS Inc over the last few years. ANSYS Inc capital lease obligations are the amount due for long-term lease agreements that are nearly equivalent to ANSYS asset purchases. For example, ANSYS can use a capital lease to finance the purchase of an asset without ever buying it. A capital lease gives companies such as ANSYS control over an asset for a big portion of its life. It is the total obligations of a company under capital leases, which are lease agreements that transfer substantially all risks and rewards of ownership to the lessee. ANSYS's Capital Lease Obligations 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.
Capital Lease Obligations10 Years Trend
Slightly volatile
   Capital Lease Obligations   
       Timeline  

ANSYS Capital Lease Obligations Regression Statistics

Arithmetic Mean98,199,431
Geometric Mean97,717,970
Coefficient Of Variation10.64
Mean Deviation8,575,241
Median91,768,000
Standard Deviation10,451,460
Sample Variance109.2T
Range29.2M
R-Value0.72
Mean Square Error57T
R-Squared0.52
Significance0
Slope1,678,490
Total Sum of Squares1529.3T

ANSYS Capital Lease Obligations History

2024116.7 M
2023100.5 M
2022112.8 M
2021104.4 M
2020120.9 M

About ANSYS Financial Statements

ANSYS shareholders use historical fundamental indicators, such as Capital Lease Obligations, 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
Capital Lease Obligations100.5 M116.7 M

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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.