Clean Income Tax Expense from 2010 to 2024
| CLNE Stock | USD 2.24 0.05 2.18% |
Income Tax Expense | First Reported 2005-03-31 | Previous Quarter -47 K | Current Value -257 K | Quarterly Volatility 6 M |
Check Clean Energy financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Clean main balance sheet or income statement drivers, such as Depreciation And Amortization of 29.2 M, Interest Expense of 15.8 M or Selling General Administrative of 83.1 M, as well as many exotic indicators such as Price To Sales Ratio of 3.44, Dividend Yield of 0.0049 or PTB Ratio of 2.18. Clean financial statements analysis is a perfect complement when working with Clean Energy Valuation or Volatility modules.
Clean | Income Tax Expense |
Latest Clean Energy's Income Tax Expense Growth Pattern
Below is the plot of the Income Tax Expense of Clean Energy Fuels over the last few years. It is Clean Energy's Income Tax Expense historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Clean Energy's overall financial position and show how it may be relating to other accounts over time.
| Income Tax Expense | 10 Years Trend |
|
Income Tax Expense |
| Timeline |
Clean Income Tax Expense Regression Statistics
| Arithmetic Mean | 510,196 | |
| Geometric Mean | 641,241 | |
| Coefficient Of Variation | 249.46 | |
| Mean Deviation | 911,176 | |
| Median | 309,000 | |
| Standard Deviation | 1,272,726 | |
| Sample Variance | 1.6T | |
| Range | 5.6M | |
| R-Value | (0.34) | |
| Mean Square Error | 1.5T | |
| R-Squared | 0.12 | |
| Significance | 0.21 | |
| Slope | (97,038) | |
| Total Sum of Squares | 22.7T |
Clean Income Tax Expense History
About Clean Energy Financial Statements
There are typically three primary documents that fall into the category of financial statements. These documents include Clean Energy income statement, its balance sheet, and the statement of cash flows. Clean Energy investors use historical funamental indicators, such as Clean Energy's Income Tax Expense, to determine how well the company is positioned to perform in the future. Although Clean Energy investors may use each financial statement separately, they are all related. The changes in Clean Energy's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Clean Energy's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Clean Energy Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Clean Energy. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Income Tax Expense | -423 K | -401.9 K |
Pair Trading with Clean Energy
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 Clean Energy 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 Clean Energy will appreciate offsetting losses from the drop in the long position's value.Moving together with Clean Stock
| 0.86 | VTNR | Vertex Energy Buyout Trend | PairCorr |
Moving against Clean Stock
| 0.9 | MPC | Marathon Petroleum Corp Financial Report 7th of May 2024 | PairCorr |
| 0.89 | VLO | Valero Energy Earnings Call This Week | PairCorr |
| 0.89 | BP | BP PLC ADR Financial Report 7th of May 2024 | PairCorr |
| 0.86 | PSX | Phillips 66 Earnings Call This Week | PairCorr |
| 0.85 | PBF | PBF Energy Financial Report 3rd of May 2024 | PairCorr |
The ability to find closely correlated positions to Clean Energy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Clean Energy 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 Clean Energy - 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 Clean Energy Fuels to buy it.
The correlation of Clean Energy 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 Clean Energy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Clean Energy Fuels 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 Clean Energy 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.Check out the analysis of Clean Energy Correlation against competitors. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Complementary 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.
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Is Clean Energy's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Clean Energy. If investors know Clean will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Clean Energy listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 5.12 | Earnings Share (0.45) | Revenue Per Share 1.907 | Quarterly Revenue Growth (0.06) | Return On Assets (0.04) |
The market value of Clean Energy Fuels is measured differently than its book value, which is the value of Clean that is recorded on the company's balance sheet. Investors also form their own opinion of Clean Energy's value that differs from its market value or its book value, called intrinsic value, which is Clean Energy's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Clean Energy's market value can be influenced by many factors that don't directly affect Clean Energy's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Clean Energy's value and its price as these two are different measures arrived at by different means. Investors typically determine if Clean Energy is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Clean Energy's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.