Clean Total Assets vs Inventory Turnover Analysis

CLNE Stock  USD 2.66  0.03  1.14%   
Clean Energy financial indicator trend analysis is way more than just evaluating Clean Energy Fuels prevailing accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Clean Energy Fuels is a good investment. Please check the relationship between Clean Energy Total Assets and its Inventory Turnover accounts. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Clean Energy Fuels. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors.

Total Assets vs Inventory Turnover

Total Assets vs Inventory Turnover Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Clean Energy Fuels Total Assets account and Inventory Turnover. At this time, the significance of the direction appears to have pay attention.
The correlation between Clean Energy's Total Assets and Inventory Turnover is -0.77. Overlapping area represents the amount of variation of Total Assets that can explain the historical movement of Inventory Turnover in the same time period over historical financial statements of Clean Energy Fuels, assuming nothing else is changed. The correlation between historical values of Clean Energy's Total Assets and Inventory Turnover is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Total Assets of Clean Energy Fuels are associated (or correlated) with its Inventory Turnover. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Inventory Turnover has no effect on the direction of Total Assets i.e., Clean Energy's Total Assets and Inventory Turnover go up and down completely randomly.

Correlation Coefficient

-0.77
Relationship DirectionNegative 
Relationship StrengthWeak

Total Assets

Total assets refers to the total amount of Clean Energy assets owned. Assets are items that have some economic value and are expended over time to create a benefit for the owner. These assets are usually recorded in Clean Energy Fuels books under different categories such as cash, marketable securities, accounts receivable,prepaid expenses, inventory, fixed assets, intangible assets, other assets, marketable securities, accounts receivable, prepaid expenses and others. The total value of all owned resources that are expected to provide future economic benefits to the business, including cash, investments, accounts receivable, inventory, property, plant, equipment, and intangible assets.

Inventory Turnover

A ratio showing how many times a company's inventory is sold and replaced over a period, indicating the efficiency of inventory management.
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 Fuels 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 Fuels. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors.
As of March 28, 2024, Selling General Administrative is expected to decline to about 83.1 M. The current year's Tax Provision is expected to grow to about (160.6 K)
 2021 2022 2023 2024 (projected)
Total Operating Expenses89.9M109.5M112.3M89.4M
Cost Of Revenue260.8M362.4M389.3M235.0M

Clean Energy fundamental ratios Correlations

0.690.570.57-0.010.820.320.610.810.940.720.510.560.810.55-0.390.640.970.580.670.820.230.750.860.560.52
0.69-0.160.44-0.050.620.770.880.140.750.00.650.270.330.18-0.620.50.60.070.520.320.670.080.80.710.31
0.57-0.160.05-0.140.29-0.32-0.060.910.370.930.060.540.810.390.030.280.670.540.440.78-0.340.860.3-0.060.43
0.570.440.050.560.84-0.060.080.440.70.410.030.00.170.730.180.410.430.71-0.010.33-0.080.50.410.370.09
-0.01-0.05-0.140.560.25-0.49-0.470.050.060.07-0.46-0.47-0.260.550.690.09-0.070.43-0.39-0.12-0.50.19-0.13-0.03-0.27
0.820.620.290.840.250.20.410.640.940.570.340.340.430.57-0.170.520.680.740.290.50.120.620.640.60.29
0.320.77-0.32-0.06-0.490.20.93-0.20.39-0.320.710.30.13-0.38-0.840.170.25-0.340.540.020.85-0.310.520.50.2
0.610.88-0.060.08-0.470.410.930.10.62-0.030.770.460.4-0.15-0.850.350.55-0.130.670.310.8-0.020.740.620.36
0.810.140.910.440.050.64-0.20.10.690.990.170.540.830.62-0.010.490.840.750.480.85-0.240.970.530.190.47
0.940.750.370.70.060.940.390.620.690.590.540.520.60.52-0.380.610.820.630.590.640.280.620.790.680.4
0.720.00.930.410.070.57-0.32-0.030.990.590.070.490.80.620.090.410.760.740.390.82-0.340.970.420.070.43
0.510.650.060.03-0.460.340.710.770.170.540.070.430.33-0.14-0.90.680.47-0.030.660.260.850.080.490.650.69
0.560.270.540.0-0.470.340.30.460.540.520.490.430.580.14-0.460.270.560.080.690.480.190.310.540.240.35
0.810.330.810.17-0.260.430.130.40.830.60.80.330.580.44-0.330.390.90.380.690.950.070.760.690.10.53
0.550.180.390.730.550.57-0.38-0.150.620.520.62-0.140.140.440.360.380.530.690.180.61-0.360.670.40.070.11
-0.39-0.620.030.180.69-0.17-0.84-0.85-0.01-0.380.09-0.9-0.46-0.330.36-0.42-0.370.26-0.61-0.2-0.930.12-0.52-0.45-0.59
0.640.50.280.410.090.520.170.350.490.610.410.680.270.390.38-0.420.640.430.420.40.430.480.570.540.81
0.970.60.670.43-0.070.680.250.550.840.820.760.470.560.90.53-0.370.640.50.680.890.190.780.850.430.59
0.580.070.540.710.430.74-0.34-0.130.750.630.74-0.030.080.380.690.260.430.50.110.52-0.340.820.290.210.21
0.670.520.44-0.01-0.390.290.540.670.480.590.390.660.690.690.18-0.610.420.680.110.650.430.340.610.350.44
0.820.320.780.33-0.120.50.020.310.850.640.820.260.480.950.61-0.20.40.890.520.65-0.020.820.650.130.45
0.230.67-0.34-0.08-0.50.120.850.8-0.240.28-0.340.850.190.07-0.36-0.930.430.19-0.340.43-0.02-0.320.430.430.53
0.750.080.860.50.190.62-0.31-0.020.970.620.970.080.310.760.670.120.480.780.820.340.82-0.320.430.150.44
0.860.80.30.41-0.130.640.520.740.530.790.420.490.540.690.4-0.520.570.850.290.610.650.430.430.440.48
0.560.71-0.060.37-0.030.60.50.620.190.680.070.650.240.10.07-0.450.540.430.210.350.130.430.150.440.18
0.520.310.430.09-0.270.290.20.360.470.40.430.690.350.530.11-0.590.810.590.210.440.450.530.440.480.18
Click cells to compare fundamentals

Clean Energy Account Relationship Matchups

Clean Energy fundamental ratios Accounts

201920202021202220232024 (projected)
Total Assets777.1M715.0M957.1M1.1B1.3B754.9M
Total Stockholder Equity533.4M513.5M747.1M720.0M726.8M443.7M
Net Debt72.6M6.6M(17.1M)75.8M253.5M128.6M
Cash49.2M109.0M99.4M126.0M107.0M82.8M
Other Assets38.9M42.4M63.2M30.5M35.0M41.7M
Cash And Short Term Investments106.2M138.5M229.2M265.5M265.1M148.0M
Common Stock Shares Outstanding206.0M200.7M213.1M222.4M222.9M117.7M
Liabilities And Stockholders Equity777.1M715.0M957.1M1.1B1.3B754.9M
Other Stockholder Equity1.2B1.2B1.5B1.6B1.7B880.4M
Total Liab234.1M192.2M201.7M354.9M525.8M301.7M
Total Current Assets293.8M263.0M409.9M471.7M470.2M276.2M
Short Long Term Debt Total121.8M115.6M82.3M201.8M360.5M222.0M
Other Current Liab67.9M52.6M77.1M92.5M93.4M98.1M
Total Current Liabilities162.6M79.8M125.9M148.1M163.8M109.1M
Property Plant And Equipment Net352.5M316.9M304.3M316.7M424.1M324.8M
Current Deferred Revenue7.3M2.6M7.3M6.0M4.9M8.0M
Retained Earnings(668.2M)(678.1M)(771.2M)(830.0M)(929.5M)(883.0M)
Accounts Payable27.4M17.3M24.4M44.4M57.0M59.8M
Non Current Assets Total483.3M452.0M547.1M610.6M789.3M499.0M
Net Receivables146.7M85.4M111.9M108.5M126.0M86.9M
Non Current Liabilities Total71.5M112.3M75.8M206.7M362.0M206.5M
Inventory29.9M28.1M31.3M37.1M45.3M26.5M
Other Current Assets11.1M9.4M37.6M60.6M33.7M18.6M
Property Plant And Equipment Gross352.5M316.9M304.3M316.7M916.2M962.0M
Accumulated Other Comprehensive Income(1.6M)(209K)(1.6M)(3.7M)(2.1M)(2.2M)
Short Term Debt60.0M7.3M17.2M5.2M8.5M8.1M
Other Liab9.7M4.0M10.7M10.2M11.8M13.2M
Long Term Debt32.9M82.1M23.2M145.5M261.1M178.2M
Intangible Assets1.2M464K5.5M5.9M6.4M6.0M
Property Plant Equipment323.9M316.9M304.3M316.7M364.2M331.4M
Short Term Investments56.9M29.5M129.7M139.6M158.2M80.9M
Net Tangible Assets467.9M448.7M677.2M649.8M747.2M450.2M
Noncontrolling Interest In Consolidated Entity17.0M9.6M9.3M8.3M9.6M13.1M
Retained Earnings Total Equity(688.7M)(668.2M)(678.1M)(771.2M)(694.1M)(728.8M)
Long Term Debt Total78.8M32.9M82.1M23.2M20.9M19.8M

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 market does not have 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 an 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 equities 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 estimated score, the more favorable is the investor's outlook on Clean Energy.
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.

Moving together with Clean Stock

  0.9VTNR Vertex Energy Financial Report 14th of May 2024 PairCorr

Moving against Clean Stock

  0.87MPC Marathon Petroleum Corp Sell-off TrendPairCorr
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  0.83REPYY Repsol SAPairCorr
  0.82PSX Phillips 66 Financial Report 1st of May 2024 PairCorr
  0.8VLO Valero Energy Fiscal Quarter End 31st of March 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.
Pair CorrelationCorrelation Matching
When determining whether Clean Energy Fuels is a strong investment it is important to analyze Clean Energy's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Clean Energy's future performance. For an informed investment choice regarding Clean Stock, refer to the following important reports:
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Clean Energy Fuels. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors.
You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.

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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.