Clean Energy Fuels Stock Analysis

Clean Stock Analysis Notes

About 21.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 1.02. Some equities with similar Price to Book (P/B) outperform the market in the long run. Clean Energy Fuels has Price/Earnings To Growth (PEG) ratio of 2.42. The entity recorded a loss per share of 0.89. The firm had not issued any dividends in recent years. 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. For more info on Clean Energy Fuels please contact Andrew Littlefair at 949 437 1000 or go to https://www.cleanenergyfuels.com.

Clean Energy Fuels Investment Alerts

Clean Largest EPS Surprises

View All Earnings Estimates

Clean Energy Environmental, Social, and Governance (ESG) Scores

Clean Stock Institutional Investors

Note, although Clean Energy's institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

Clean Market Capitalization

The company currently falls under 'Small-Cap' category with a current market capitalization of 565.8 M.

Clean Profitablity

The company has Profit Margin (PM) of (0.5) %, which may suggest that it does not properly executes on its current pricing strategies or is unable to control all of the operational costs. This is way below average. Similarly, it shows Operating Margin (OM) of (0.08) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.08.

Management Efficiency

Clean Energy Fuels has return on total asset (ROA) of (0.0179) % which means that it has lost $0.0179 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of (0.3172) %, meaning that it created substantial loss on money invested by shareholders. Clean Energy's management efficiency ratios could be used to measure how well Clean Energy manages its routine affairs as well as how well it operates its assets and liabilities. As of February 11, 2026, Return On Tangible Assets is expected to decline to -0.07. In addition to that, Return On Capital Employed is expected to decline to -0.03. At present, Clean Energy's Fixed Asset Turnover is projected to slightly decrease based on the last few years of reporting. The current year's Asset Turnover is expected to grow to 0.47, whereas Total Current Assets are forecasted to decline to about 284.3 M.

Technical Drivers

As of the 11th of February 2026, Clean Energy shows the mean deviation of 2.14, and Risk Adjusted Performance of 0.0609. Clean Energy Fuels technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm Clean Energy Fuels downside deviation, treynor ratio, expected short fall, as well as the relationship between the variance and potential upside to decide if Clean Energy Fuels is priced correctly, providing market reflects its regular price of 2.58 per share. Please also double-check Clean Energy Fuels total risk alpha, which is currently at (0.11) to validate the company can sustain itself at a future point.

Clean Energy Fuels Price Movement Analysis

Clean Energy Fuels Insider Trading Activities

Clean Energy Outstanding Bonds

Clean Energy Predictive Daily Indicators

Clean Energy Forecast Models

Clean Energy's time-series forecasting models are one of many Clean Energy's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Clean Energy's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Clean Energy Bond Ratings

Clean Energy Fuels financial ratings play a critical role in determining how much Clean Energy have to pay to access credit markets, i.e., the amount of interest on their issued debt. The threshold between investment-grade and speculative-grade ratings has important market implications for Clean Energy's borrowing costs.

Clean Energy Fuels Debt to Cash Allocation

Clean Energy Fuels currently holds 365.13 M in liabilities with Debt to Equity (D/E) ratio of 0.11, which may suggest the company is not taking enough advantage from borrowing. Clean Energy Fuels has a current ratio of 2.6, suggesting that it is liquid enough and is able to pay its financial obligations when due. Note, when we think about Clean Energy's use of debt, we should always consider it together with its cash and equity.

Clean Energy Total Assets Over Time

Clean Energy Assets Financed by Debt

The debt-to-assets ratio shows the degree to which Clean Energy uses debt to finance its assets. It includes both long-term and short-term borrowings maturing within one year. It also includes both tangible and intangible assets, such as goodwill.

Clean Energy Debt Ratio

18.0

It looks as if most of the Clean Energy's assets are financed through equity. Typically, companies with high debt-to-asset ratios are said to be highly leveraged. The higher the ratio, the greater risk will be associated with the Clean Energy's operation. In addition, a high debt-to-assets ratio may indicate a low borrowing capacity of Clean Energy, which in turn will lower the firm's financial flexibility.

Clean Energy Corporate Bonds Issued

Clean Net Debt

Stock analysis is the technique used by a trader or investor to examine and evaluate how Clean Energy prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Clean shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Clean Energy. By using and applying Clean Stock analysis, traders can create a robust methodology for identifying Clean entry and exit points for their positions.

We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. Clean analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. Clean analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.

Clean Energy Fuels stock analysis indicators help investors evaluate how Clean Energy stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing and determine when trading Clean Energy shares will generate the highest return on investment. By understating and applying Clean Energy stock analysis, traders can identify Clean Energy position entry and exit signals to maximize returns.

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.