The Aes Stock Total Debt
AES Stock | EUR 15.09 0.17 1.14% |
The AES fundamentals help investors to digest information that contributes to AES's financial success or failures. It also enables traders to predict the movement of AES Stock. The fundamental analysis module provides a way to measure AES's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to AES stock.
AES |
The AES Company Total Debt Analysis
AES's Total Debt refers to the amount of long term interest-bearing liabilities that a company carries on its balance sheet. That may include bonds sold to the public, notes written to banks or capital leases. Typically, debt can help a company magnify its earnings, but the burden of interest and principal payments will eventually prevent the firm from borrow excessively.
Current AES Total Debt | 21.74 B |
Most of AES's fundamental indicators, such as Total Debt, 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, The AES is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
In most industries, total debt may also include the current portion of long-term debt. Since debt terms vary widely from one company to another, simply comparing outstanding debt obligations between different companies may not be adequate. It is usually meant to compare total debt amounts between companies that operate within the same sector.
Competition |
Based on the latest financial disclosure, The AES has a Total Debt of 21.74 B. This is 308.65% higher than that of the Utilities sector and 47.56% higher than that of the Utilities - Diversified industry. The total debt for all Germany stocks is significantly lower than that of the firm.
AES Total Debt Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses AES's direct or indirect competition against its Total Debt to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of AES could also be used in its relative valuation, which is a method of valuing AES by comparing valuation metrics of similar companies.AES is currently under evaluation in total debt category among related companies.
AES Fundamentals
Return On Equity | -0.0867 | |||
Return On Asset | 0.041 | |||
Profit Margin | (0.04) % | |||
Operating Margin | 0.19 % | |||
Current Valuation | 38.28 B | |||
Shares Outstanding | 668.74 M | |||
Shares Owned By Insiders | 0.30 % | |||
Shares Owned By Institutions | 97.07 % | |||
Price To Earning | 14.98 X | |||
Price To Book | 7.52 X | |||
Price To Sales | 1.51 X | |||
Revenue | 12.62 B | |||
Gross Profit | 2.55 B | |||
EBITDA | 2 B | |||
Net Income | (546 M) | |||
Cash And Equivalents | 1.8 B | |||
Cash Per Share | 2.72 X | |||
Total Debt | 21.74 B | |||
Debt To Equity | 350.00 % | |||
Current Ratio | 1.34 X | |||
Book Value Per Share | 2.39 X | |||
Cash Flow From Operations | 2.71 B | |||
Earnings Per Share | (0.40) X | |||
Price To Earnings To Growth | 2.10 X | |||
Number Of Employees | 35 | |||
Beta | 0.92 | |||
Market Capitalization | 15.36 B | |||
Total Asset | 38.36 B | |||
Annual Yield | 0.03 % | |||
Five Year Return | 3.28 % | |||
Net Asset | 38.36 B | |||
Last Dividend Paid | 0.63 |
About AES Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze The AES's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of AES using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of The AES 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.
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 AES 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, AES's short interest history, or implied volatility extrapolated from AES options trading.
Pair Trading with AES
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 AES 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 AES will appreciate offsetting losses from the drop in the long position's value.Moving against AES Stock
0.41 | 99Q | ENTREPARTICULIERS EO | PairCorr |
The ability to find closely correlated positions to AES could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AES 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 AES - 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 The AES to buy it.
The correlation of AES 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 AES moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AES 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 AES 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.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in The AES. 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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Complementary Tools for AES Stock analysis
When running AES's price analysis, check to measure AES'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 AES is operating at the current time. Most of AES's value examination focuses on studying past and present price action to predict the probability of AES's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AES's price. Additionally, you may evaluate how the addition of AES to your portfolios can decrease your overall portfolio volatility.
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