Clean Interest Expense Trend from 2010 to 2022

CLNE
 Stock
  

USD 8.17  0.10  1.21%   

Clean Energy Interest Expense is decreasing over the years with stable fluctuation. Ongoing Interest Expense is projected to grow to about 4.5 M this year. During the period from 2010 to 2022 Clean Energy Interest Expense anual values regression line had geometric mean of 14,876,883 and significance of  0.41. 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 Interest Expense

732,000

Clean Interest Expense Breakdown

Showing smoothed Interest Expense of Clean Energy Fuels with missing and latest data points interpolated. Amount of the cost of borrowed funds accounted for as interest expense.Clean Energy's Interest 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.
Interest Expense10 Years Trend
Decreasing
Stable
   Interest Expense   
Share
       Timeline  

Clean Interest Expense Regression Statistics

Arithmetic Mean 22,483,814
Geometric Mean 14,876,883
Coefficient Of Variation 111.23
Mean Deviation 16,843,038
Median 15,924,000
Standard Deviation 25,008,818
Range 91,383,000
R-Value(0.25)
R-Squared 0.06
Significance 0.41
Slope(1,604,525)

Clean Interest Expense History

201216.1 M
201329.3 M
201444.7 M
201595.8 M
201629.6 M
201717.8 M
201815.9 M
20197.6 M
20207.3 M
20214.4 M
20224.5 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 Interest 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 ReportedProjected for 2022
Interest Expense4.4 M4.5 M
Earnings Before Interest Taxes and Depreciation Amortization EBITDA-40.5 M-41.5 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.

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Our tools can tell you how much better you can do entering a position in Clean Energy without increasing your portfolio risk or giving up expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate.risk-adjusted returns of your individual positions relative to your overall portfolio.

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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 Energy

0.79AMPSAltus Power Earnings Call  This WeekPairCorr
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting 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.