Schrodinger Cash Conversion Cycle from 2010 to 2024
| SDGR Stock | USD 20.84 0.47 2.31% |
Cash Conversion Cycle | First Reported 2010-12-31 | Previous Quarter 69.34275995 | Current Value 34.68 | Quarterly Volatility 17.19784822 |
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.
Schrodinger | Cash Conversion Cycle |
Latest Schrodinger's Cash Conversion Cycle Growth Pattern
Below is the plot of the Cash Conversion Cycle of Schrodinger over the last few years. It is Schrodinger's Cash Conversion Cycle 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.
| Cash Conversion Cycle | 10 Years Trend |
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Cash Conversion Cycle |
| Timeline |
Schrodinger Cash Conversion Cycle Regression Statistics
| Arithmetic Mean | 35.14 | |
| Geometric Mean | 32.20 | |
| Coefficient Of Variation | 48.95 | |
| Mean Deviation | 12.73 | |
| Median | 26.98 | |
| Standard Deviation | 17.20 | |
| Sample Variance | 295.77 | |
| Range | 56.1157 | |
| R-Value | 0.40 | |
| Mean Square Error | 267.12 | |
| R-Squared | 0.16 | |
| Significance | 0.14 | |
| Slope | 1.54 | |
| Total Sum of Squares | 4,141 |
Schrodinger Cash Conversion Cycle History
About Schrodinger Financial Statements
Schrodinger shareholders use historical fundamental indicators, such as Cash Conversion Cycle, 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 Reported | Projected for Next Year | ||
| Cash Conversion Cycle | 69.34 | 34.68 |
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 together with Schrodinger Stock
Moving against Schrodinger Stock
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.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.