Clean Net Cash Flow from Operations Trend from 2010 to 2022

CLNE
 Stock
  

USD 8.27  0.37  4.68%   

Clean Energy Net Cash Flow from Operations is increasing over the years with slightly volatile fluctuation. Ongoing Net Cash Flow from Operations is projected to grow to about 44.6 M this year. . Clean Energy Interest Expense is projected to decrease significantly based on the last few years of reporting. The past year's Interest Expense was at 4.43 Million. The current year Operating Expenses is expected to grow to about 136.2 M, whereas Consolidated Income is forecasted to decline to (101.6 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 Direct Expenses of 209.7 M, Cost of Revenue of 212.5 M or Gross Profit of 41.1 M, as well as many exotic indicators such as Interest Coverage of 1.26, Long Term Debt to Equity of 0.0352 or Calculated Tax Rate of 5.39. Clean financial statements analysis is a perfect complement when working with Clean Energy Valuation or Volatility modules. It can also supplement Clean Energy's financial leverage analysis and stock options assessment as well as various Clean Energy Technical models . Continue to the analysis of Clean Energy Correlation against competitors.

Clean Energy Quarterly Net Cash Flow from Operations

27.4 Million

Clean Net Cash Flow from Operations Breakdown

Showing smoothed Net Cash Flow from Operations of Clean Energy Fuels with missing and latest data points interpolated. A component of Net Cash Flow or Change in Cash and Cash Equivalents representing the amount of cash inflow (outflow) from operating activities; from continuing and discontinued operations.Clean Energy's Net Cash Flow from Operations 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.
ViewLast Reported 60.62 M10 Years Trend
Increasing
Slightly volatile
   Net Cash Flow from Operations   
Share
       Timeline  

Clean Net Cash Flow from Operations Regression Statistics

Arithmetic Mean 5,562,028
Coefficient Of Variation 707.41
Mean Deviation 32,319,107
Median(4,317,000)
Standard Deviation 39,346,283
Range 137,046,000
R-Value 0.75
R-Squared 0.57
Significance 0.003046
Slope 7,594,485

Clean Net Cash Flow from Operations History

2012-19.8 M
2013-4.7 M
2014-76 M
2015-12.1 M
201646.3 M
2017-4.3 M
201838 M
201912.3 M
202061 M
202141.3 M
202244.6 M

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 Net Cash Flow from Operations, 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 ReportedProjected for 2022
Net Cash Flow from Operations41.3 M44.6 M
Free Cash Flow15.3 M16.5 M
Clean Energy Fuels Corp. provides natural gas as an alternative fuel for vehicle fleets and related fueling solutions, primarily in the United States and Canada. Clean Energy Fuels Corp. was incorporated in 2001 and is headquartered in Newport Beach, California. Clean Energy operates under Oil Gas Refining Marketing classification in the United States and is traded on NASDAQ Exchange. It employs 482 people.

Clean Energy Investors Sentiment

The influence of Clean Energy's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Clean. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.
Investor biases related to Clean Energy's public news can be used to forecast risks associated with investment in Clean. The trend in average sentiment can be used to explain how an investor holding Clean can time the market purely based on public headlines and social activities around Clean Energy Fuels. Please note that most equiteis that are difficult to arbitrage are affected by market sentiment the most.
Clean Energy's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Clean Energy's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Clean Energy's news discussions. The higher the estimate score, the more favorable is the investor's outlook on Clean Energy.

Clean Energy Implied Volatility

    
  88.71  
Clean Energy's implied volatility exposes the market's sentiment of Clean Energy Fuels stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Clean Energy's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Clean Energy stock will not fluctuate a lot when Clean Energy's options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Clean Energy in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Clean Energy's short interest history, or implied volatility extrapolated from Clean Energy options trading.

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.
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 equities. 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.
Pair CorrelationCorrelation Matching
Continue to the analysis of Clean Energy Correlation against competitors. Note that the Clean Energy Fuels information on this page should be used as a complementary analysis to other Clean Energy's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.

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When running Clean Energy Fuels 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 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 YOY
5.12
Market Capitalization
1.8 B
Quarterly Revenue Growth YOY
201.55
Return On Assets
-0.0278
Return On Equity
-0.0602
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 Clean Energy value 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.