Solid Cash Conversion Cycle from 2010 to 2024
| SLDP Stock | USD 1.16 0.04 3.57% |
Cash Conversion Cycle | First Reported 2010-12-31 | Previous Quarter (52.40) | Current Value (55.02) | Quarterly Volatility 125.19845662 |
Check Solid Power financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Solid Power's main balance sheet or income statement drivers, such as Net Interest Income of 16.1 M, Interest Income of 16.2 M or Depreciation And Amortization of 13.4 M, as well as many indicators such as Price To Sales Ratio of 14.08, Dividend Yield of 0.0 or PTB Ratio of 0.49. Solid financial statements analysis is a perfect complement when working with Solid Power Valuation or Volatility modules.
Solid | Cash Conversion Cycle |
Latest Solid Power's Cash Conversion Cycle Growth Pattern
Below is the plot of the Cash Conversion Cycle of Solid Power over the last few years. It is Solid Power's Cash Conversion Cycle historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Solid Power's overall financial position and show how it may be relating to other accounts over time.
| Cash Conversion Cycle | 10 Years Trend |
|
Cash Conversion Cycle |
| Timeline |
Solid Cash Conversion Cycle Regression Statistics
| Arithmetic Mean | (60.65) | |
| Geometric Mean | 16.05 | |
| Coefficient Of Variation | (206.43) | |
| Mean Deviation | 80.96 | |
| Median | (7.78) | |
| Standard Deviation | 125.20 | |
| Sample Variance | 15,675 | |
| Range | 406 | |
| R-Value | (0.48) | |
| Mean Square Error | 13,051 | |
| R-Squared | 0.23 | |
| Significance | 0.07 | |
| Slope | (13.33) | |
| Total Sum of Squares | 219,445 |
Solid Cash Conversion Cycle History
About Solid Power Financial Statements
Solid Power shareholders use historical fundamental indicators, such as Cash Conversion Cycle, to determine how well the company is positioned to perform in the future. Although Solid Power investors may analyze each financial statement separately, they are all interrelated. The changes in Solid Power's assets and liabilities, for example, are also reflected in the revenues and expenses on on Solid Power'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 | (52.40) | (55.02) |
Pair Trading with Solid Power
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 Solid Power 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 Solid Power will appreciate offsetting losses from the drop in the long position's value.Moving together with Solid Stock
Moving against Solid Stock
| 0.79 | GBX | Greenbrier Companies | PairCorr |
| 0.78 | VMI | Valmont Industries | PairCorr |
| 0.74 | HON | Honeywell International | PairCorr |
| 0.72 | WAB | Westinghouse Air Brake | PairCorr |
| 0.69 | FSTR | LB Foster | PairCorr |
The ability to find closely correlated positions to Solid Power could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Solid Power 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 Solid Power - 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 Solid Power to buy it.
The correlation of Solid Power 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 Solid Power moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Solid Power 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 Solid Power 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 Solid Stock Analysis
When running Solid Power's price analysis, check to measure Solid Power'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 Solid Power is operating at the current time. Most of Solid Power's value examination focuses on studying past and present price action to predict the probability of Solid Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Solid Power's price. Additionally, you may evaluate how the addition of Solid Power to your portfolios can decrease your overall portfolio volatility.