Clean Z Score

CLNE
 Stock
  

USD 6.50  0.09  1.40%   

Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Continue to Clean Energy Piotroski F Score and Clean Energy Valuation analysis.
  
Clean Energy Invested Capital Average is projected to decrease significantly based on the last few years of reporting. The past year's Invested Capital Average was at 676.92 Million. 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).

Clean Z Score Analysis

Clean Energy's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
 2019 2020 2021 2022 (projected)
Interest Expense7.57 M7.35 M4.43 M4.55 M
Gross Profit131.96 M106.31 M40.04 M41.1 M
Z Score 
 = 
Sum Of  
 
5 Factors 
More About Z Score | All Equity Analysis

Current Clean Energy Z Score

    
  10.2  
Most of Clean Energy's fundamental indicators, such as Z Score, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Clean Energy Fuels is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
First Factor
 = 
1.2 * (
Working Capital
/
Total Assets )
Second Factor
 = 
1.4 * (
Retained Earnings
/
Total Assets )
Thrid Factor
 = 
3.3 * (
EBITAD
/
Total Assets )
Fouth Factor
 = 
0.6 * (
Market Value of Equity
/
Total Liabilities )
Fifth Factor
 = 
0.99 * (
Revenue
/
Total Assets )

Clean Z Score Driver Correlations

Understanding the fundamental principles of building solid financial models for Clean Energy is extremely important. It helps to project a fair market value of Ford stock properly, considering its historical fundamentals such as Z Score. Since Clean Energy's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Clean Energy's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Clean Energy's interrelated accounts and indicators.
To calculate Z-Score one would need to know current working capital of the company, its total assets, and liabilities, amount of latest retained earnings as well as earnings before interest and tax. Z-Score can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area' with scores of less than 1, indicating the high probability of distress. Z Score is used widely by financial auditors, accountants, money managers, loan processers, wealth advisers, as well as day traders. In the last 25 years, many financial models that utilize z score has been proved to be successful as a predictor of corporate bankruptcy.
Compare to competition

In accordance with the company's disclosures, Clean Energy Fuels has a Z Score of 10.2. This is 357.4% higher than that of the Oil, Gas & Consumable Fuels sector and 296.89% higher than that of the Energy industry. The z score for all United States stocks is 16.97% lower than that of the firm.

Clean Z Score Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Clean Energy's direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Clean Energy could also be used in its relative valuation, which is a method of valuing Clean Energy by comparing valuation metrics of similar companies.
Clean Energy is currently under evaluation in z score category among related companies.

Clean Energy Current Valuation Drivers

We derive many important indicators used in calculating different scores of Clean Energy from analyzing Clean Energy's financial statements. These drivers represent accounts that assess Clean Energy's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Clean Energy's important valuation drivers and their relationship over time.
201720182019202020212022 (projected)
Net Income Per Employee(183.84 K)(9.45 K)49.57 K(21.16 K)(193.25 K)(198.34 K)
Revenue Per Employee792.57 K863.89 K835.11 K625.65 K530.39 K494.03 K
Average Assets842.33 M802.92 M713.74 M702.98 M878.7 M843.32 M
Earnings Before Interest Taxes and Depreciation Amortization EBITDA(2.99 M)58.74 M71.5 M41.88 M(45.05 M)(46.24 M)
Earnings Before Interest Taxes and Depreciation Amortization USD(6.79 M)64.33 M81.71 M48.23 M(40.47 M)(41.53 M)
Earnings before Tax(81.15 M)(3.45 M)21.28 M(9.55 M)(93.03 M)(100.37 M)
Average Equity485.95 M489.82 M504.6 M518.41 M687.99 M647.2 M
Enterprise Value514.77 M428.65 M554.5 M1.53 B1.3 B1.08 B
Free Cash Flow(40.62 M)13.25 M(7.04 M)52.44 M15.33 M16.54 M
Invested Capital743.57 M605.85 M621.52 M566.01 M737.2 M754.99 M
Invested Capital Average854.99 M707.05 M603.61 M541.71 M676.92 M716.18 M
Market Capitalization306.7 M349.97 M479.05 M1.56 B1.37 B1.16 B
Tangible Asset Value723.99 M632.55 M711.53 M650.24 M887.24 M806.92 M
Working Capital101.6 M145.35 M131.23 M183.2 M284.03 M236.7 M

Clean Energy Institutional Holders

Institutional Holdings refers to the ownership stake in Clean Energy that is held by large financial organizations, pension funds or endowments. Institutions may purchase large blocks of Clean Energy's outstanding shares and can exert considerable influence upon its management. Institutional holders may also work to push the share price higher once they own the stock. Extensive social media coverage, TV shows, articles in high-profile magazines, and presentations at investor conferences help move the stock higher, increasing Clean Energy's value.
Security TypeSharesValue
Zurcher Kantonalbank Zurich CantonalbankCommon Shares25.6 K137 K
Zurcher Kantonalbank Zurich CantonalbankCommon Shares15.8 K71 K
Zurcher Kantonalbank Zurich CantonalbankCommon Shares24.4 K194 K
Zurcher Kantonalbank Zurich CantonalbankCommon Shares15.7 K96 K
Zurcher Kantonalbank Zurich CantonalbankCommon Shares15.7 K128 K
Zurcher Kantonalbank Zurich CantonalbankCommon Shares15.7 K159 K
Zurcher Kantonalbank Zurich CantonalbankCommon Shares18.7 K258 K

Clean Fundamentals

About Clean Energy Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Clean Energy Fuels's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Clean Energy using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Clean Energy Fuels based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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.

Be your own money manager

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 the 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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Portfolio Rebalancing

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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

+0.65CVICVR Energy Downward RallyPairCorr
+0.65VLOValero Energy Downward RallyPairCorr
+0.68APAAPA Corporation Potential GrowthPairCorr
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 Clean Energy Piotroski F Score and Clean Energy Valuation analysis. You can also try Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

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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
1.4 B
Quarterly Revenue Growth YOY
0.46
Return On Assets
(0.0314) 
Return On Equity
(0.07) 
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.