CETY Stock | | | USD 0.69 0.05 6.76% |
Clean Energy financial indicator trend analysis is way more than just evaluating Clean Energy Technol prevailing accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Clean Energy Technol is a good investment. Please check the relationship between Clean Energy Retained Earnings and its Net Working Capital accounts. Check out
Trending Equities to better understand how to build diversified portfolios, which includes a position in Clean Energy Technologies,. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in estimate.
Retained Earnings vs Net Working Capital
Retained Earnings vs Net Working Capital Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of
Clean Energy Technol Retained Earnings account and
Net Working Capital. At this time, the significance of the direction appears to have strong contrarian relationship.
The correlation between Clean Energy's Retained Earnings and Net Working Capital is -0.58. Overlapping area represents the amount of variation of Retained Earnings that can explain the historical movement of Net Working Capital in the same time period over historical financial statements of Clean Energy Technologies,, assuming nothing else is changed. The correlation between historical values of Clean Energy's Retained Earnings and Net Working Capital is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Retained Earnings of Clean Energy Technologies, are associated (or correlated) with its Net Working Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Net Working Capital has no effect on the direction of Retained Earnings i.e., Clean Energy's Retained Earnings and Net Working Capital go up and down completely randomly.
Correlation Coefficient | -0.58 |
Relationship Direction | Negative |
Relationship Strength | Very Weak |
Retained Earnings
The cumulative amount of net income that a company retains for reinvestment in its operations, rather than distributing it to shareholders as dividends.
Net Working Capital
Most indicators from Clean Energy's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Clean Energy Technol current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out
Trending Equities to better understand how to build diversified portfolios, which includes a position in Clean Energy Technologies,. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in estimate.
At this time, Clean Energy's
Tax Provision is fairly stable compared to the past year.
Enterprise Value is likely to rise to about 77.3
M in 2024, whereas
Selling General Administrative is likely to drop slightly above 1.9
M in 2024.
Clean Energy fundamental ratios Correlations
Click cells to compare fundamentals
Clean Energy Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Clean Energy fundamental ratios Accounts
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Additional Tools for Clean Stock Analysis
When running Clean Energy's price analysis, check to
measure Clean Energy'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 Clean Energy is operating at the current time. Most of Clean Energy's value examination focuses on studying past and present price action to
predict the probability of Clean Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Clean Energy's price. Additionally, you may evaluate how the addition of Clean Energy to your portfolios can decrease your overall portfolio volatility.