Schrodinger Cost Of Revenue from 2010 to 2024

SDGR Stock  USD 22.23  0.28  1.28%   
Schrodinger Cost Of Revenue yearly trend continues to be relatively stable with very little volatility. Cost Of Revenue is likely to drop to about 54.8 M. During the period from 2010 to 2024, Schrodinger Cost Of Revenue destribution of quarterly values had range of 64 M from its regression line and mean deviation of  21,084,155. View All Fundamentals
 
Cost Of Revenue  
First Reported
2018-03-31
Previous Quarter
16 M
Current Value
17.6 M
Quarterly Volatility
5.4 M
 
Covid
Check Schrodinger financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Schrodinger's main balance sheet or income statement drivers, such as Tax Provision of 2.3 M, Net Interest Income of 1.3 M or Interest Income of 1.3 M, as well as many indicators such as Price To Sales Ratio of 22.59, Dividend Yield of 0.0 or PTB Ratio of 4.92. Schrodinger financial statements analysis is a perfect complement when working with Schrodinger Valuation or Volatility modules.
  
Check out the analysis of Schrodinger Correlation against competitors.
To learn how to invest in Schrodinger Stock, please use our How to Invest in Schrodinger guide.

Latest Schrodinger's Cost Of Revenue Growth Pattern

Below is the plot of the Cost Of Revenue of Schrodinger over the last few years. Cost of Revenue is found on Schrodinger income statement and represents the costs associated with goods and services Schrodinger provides. Indirect cost, such as salaries, is not included. In other words, cost of revenue is the total cost incurred to obtain a sale. It is more than the traditional cost of goods sold, since it includes specific selling and marketing activities. It is Schrodinger's Cost Of Revenue historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Schrodinger's overall financial position and show how it may be relating to other accounts over time.
Cost Of Revenue10 Years Trend
Slightly volatile
   Cost Of Revenue   
       Timeline  

Schrodinger Cost Of Revenue Regression Statistics

Arithmetic Mean34,330,796
Geometric Mean27,446,321
Coefficient Of Variation72.27
Mean Deviation21,084,155
Median15,893,000
Standard Deviation24,812,488
Sample Variance615.7T
Range64M
R-Value0.85
Mean Square Error188.7T
R-Squared0.72
Significance0.000071
Slope4,692,838
Total Sum of Squares8619.2T

Schrodinger Cost Of Revenue History

202454.8 M
202376 M
202279.9 M
202172.3 M
202044.6 M
201936.5 M
201823.7 M

About Schrodinger Financial Statements

Schrodinger shareholders use historical fundamental indicators, such as Cost Of Revenue, to determine how well the company is positioned to perform in the future. Although Schrodinger investors may analyze each financial statement separately, they are all interrelated. The changes in Schrodinger's assets and liabilities, for example, are also reflected in the revenues and expenses on on Schrodinger'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
Cost Of Revenue76 M54.8 M

Pair Trading with Schrodinger

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 Schrodinger 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 Schrodinger will appreciate offsetting losses from the drop in the long position's value.

Moving against Schrodinger Stock

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The ability to find closely correlated positions to Schrodinger could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Schrodinger 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 Schrodinger - 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 Schrodinger to buy it.
The correlation of Schrodinger is a statistical measure of how it moves in relation to other instruments. 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 Schrodinger moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Schrodinger 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 Schrodinger 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

Additional Tools for Schrodinger Stock Analysis

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