Ansys Gross Margin Trend from 2010 to 2022

ANSS
 Stock
  

USD 284.57  4.43  1.58%   

Ansys Gross Margin yearly trend continues to be relatively stable with very little volatility. Gross Margin is likely to grow to 0.95 this year. During the period from 2010 to 2022, Ansys Gross Margin destribution of quarterly values had range of  0.13 from its regression line and mean deviation of  0.025314. Ansys Direct Expenses is relatively stable at the moment as compared to the past year. Ansys reported last year Direct Expenses of 257.98 Million. As of 08/13/2022, Interest Expense is likely to grow to about 13.4 M, while Cost of Revenue is likely to drop slightly above 231 M.
  
Check Ansys financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Ansys main balance sheet or income statement drivers, such as Direct Expenses of 278.4 M, Consolidated Income of 419.3 M or Cost of Revenue of 231 M, as well as many exotic indicators such as Interest Coverage of 51.01, Long Term Debt to Equity of 0.14 or Calculated Tax Rate of 12.09. Ansys financial statements analysis is a perfect complement when working with Ansys Valuation or Volatility modules. It can also supplement Ansys' financial leverage analysis and stock options assessment as well as various Ansys Technical models . Please continue to the analysis of Ansys Correlation against competitors.

Ansys Quarterly Gross Margin

0.868

Ansys Gross Margin Breakdown

Showing smoothed Gross Margin of Ansys Inc with missing and latest data points interpolated. Gross Margin measures the ratio between a company's Gross Profit and Revenues.Ansys' Gross Margin historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Ansys' overall financial position and show how it may be relating to other accounts over time.
Gross Margin10 Years Trend
Increasing
Slightly volatile
   Gross Margin   
Share
       Timeline  

Ansys Gross Margin Regression Statistics

Arithmetic Mean 0.86
Geometric Mean 0.86
Coefficient Of Variation 4.05
Mean Deviation 0.025314
Median 0.85
Standard Deviation 0.034724
Sample Variance 0.001206
Range 0.13
R-Value 0.84
Mean Square Error 0.00038331
R-Squared 0.71
Significance 0.00030765
Slope 0.007505
Total Sum of Squares 0.014469

Ansys Gross Margin History

2014 0.84
2016 0.85
2017 0.86
2018 0.88
2019 0.89
2020 0.87
2022 0.95

About Ansys Financial Statements

There are typically three primary documents that fall into the category of financial statements. These documents include Ansys income statement, its balance sheet, and the statement of cash flows. Ansys investors use historical funamental indicators, such as Ansys's Gross Margin, to determine how well the company is positioned to perform in the future. Although Ansys investors may use each financial statement separately, they are all related. The changes in Ansys's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Ansys's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Ansys Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Ansys. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for 2022
Gross Margin 0.86  0.95 
ANSYS, Inc. develops and markets engineering simulation software and services worldwide. The company was founded in 1970 and is headquartered in Canonsburg, Pennsylvania. Ansys operates under SoftwareApplication classification in the United States and is traded on NASDAQ Exchange. It employs 5200 people.

Ansys Investors Sentiment

The influence of Ansys' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Ansys. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.
Investor biases related to Ansys' public news can be used to forecast risks associated with investment in Ansys. The trend in average sentiment can be used to explain how an investor holding Ansys can time the market purely based on public headlines and social activities around Ansys Inc. Please note that most equiteis that are difficult to arbitrage are affected by market sentiment the most.
Ansys' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Ansys' and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Ansys' news discussions. The higher the estimate score, the more favorable is the investor's outlook on Ansys.

Ansys Implied Volatility

    
  27.56  
Ansys' implied volatility exposes the market's sentiment of Ansys Inc stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Ansys' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Ansys stock will not fluctuate a lot when Ansys' options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Ansys in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Ansys' short interest history, or implied volatility extrapolated from Ansys options trading.

Pair Trading with Ansys

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Ansys position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Ansys will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Ansys could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ansys when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Ansys - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Ansys Inc to buy it.
The correlation of Ansys is a statistical measure of how it moves in relation to other equities. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Ansys moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ansys Inc moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Ansys can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Please continue to the analysis of Ansys Correlation against competitors. Note that the Ansys Inc information on this page should be used as a complementary analysis to other Ansys' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try ETF Directory module to find actively traded Exchange Traded Funds (ETF) from around the world.

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Is Ansys' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Ansys. If investors know Ansys will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Ansys listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth YOY
0.066
Market Capitalization
24.4 B
Quarterly Revenue Growth YOY
0.061
Return On Assets
0.0585
Return On Equity
0.11
The market value of Ansys Inc is measured differently than its book value, which is the value of Ansys that is recorded on the company's balance sheet. Investors also form their own opinion of Ansys' value that differs from its market value or its book value, called intrinsic value, which is Ansys' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Ansys' market value can be influenced by many factors that don't directly affect Ansys' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Ansys' value and its price as these two are different measures arrived at by different means. Investors typically determine Ansys value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Ansys' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.