Solid Return On Capital Employed from 2010 to 2024

SLDP Stock  USD 1.07  0.01  0.94%   
Solid Power Return On Capital Employed yearly trend continues to be relatively stable with very little volatility. Return On Capital Employed is likely to drop to -0.18. During the period from 2010 to 2024, Solid Power Return On Capital Employed destribution of quarterly values had r-value of  0.46 from its regression line and median of (0.48). View All Fundamentals
 
Return On Capital Employed  
First Reported
2010-12-31
Previous Quarter
(0.18)
Current Value
(0.18)
Quarterly Volatility
0.2182971
 
Credit Downgrade
 
Yuan Drop
 
Covid
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.
  
Check out the analysis of Solid Power Correlation against competitors.
To learn how to invest in Solid Stock, please use our How to Invest in Solid Power guide.

Latest Solid Power's Return On Capital Employed Growth Pattern

Below is the plot of the Return On Capital Employed of Solid Power over the last few years. It is Solid Power's Return On Capital Employed 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.
Return On Capital Employed10 Years Trend
Slightly volatile
   Return On Capital Employed   
       Timeline  

Solid Return On Capital Employed Regression Statistics

Arithmetic Mean(0.42)
Coefficient Of Variation(52.24)
Mean Deviation0.16
Median(0.48)
Standard Deviation0.22
Sample Variance0.05
Range0.8942
R-Value0.46
Mean Square Error0.04
R-Squared0.21
Significance0.09
Slope0.02
Total Sum of Squares0.67

Solid Return On Capital Employed History

2023 -0.18
2022 -0.1
2021 -0.0436
2020 -0.94

About Solid Power Financial Statements

Solid Power shareholders use historical fundamental indicators, such as Return On Capital Employed, 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 ReportedProjected for Next Year
Return On Capital Employed(0.18)(0.18)

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

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Moving against Solid Stock

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  0.74VMI Valmont IndustriesPairCorr
  0.73HON Honeywell International Sell-off TrendPairCorr
  0.73WAB Westinghouse Air BrakePairCorr
  0.71FSTR LB FosterPairCorr
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.
Pair CorrelationCorrelation Matching

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.