The Aes Stock Net Income
| AES Stock | EUR 13.86 0.01 0.07% |
As of the 19th of February, AES shows the Risk Adjusted Performance of 0.0963, semi deviation of 1.2, and Mean Deviation of 1.1. AES 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.
AES Total Revenue |
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Market Capitalization 14.4 B | Enterprise Value Revenue 3.3705 |
| Last Reported | Projected for Next Year | ||
| Net Income From Continuing Ops | 728.1 M | 764.5 M | |
| Net Income | 1.9 B | 2 B |
AES | Net Income |
The evolution of Net Income for The AES provides essential context for understanding the company's financial health trajectory. By analyzing this metric's behavior over time, investors can assess whether recent trends align with long-term patterns, and how AES compares to historical norms and industry peers.
Latest AES's Net Income Growth Pattern
Below is the plot of the Net Income of The AES over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in AES financial statement analysis. It represents the amount of money remaining after all of The AES operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is AES's Net Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in AES's overall financial position and show how it may be relating to other accounts over time.
| View | Last Reported 1.68 B | 10 Years Trend |
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Net Income |
| Timeline |
AES Net Income Regression Statistics
| Arithmetic Mean | (152,221,029) | |
| Geometric Mean | 786,161,464 | |
| Coefficient Of Variation | (781.08) | |
| Mean Deviation | 1,000,445,848 | |
| Median | (546,000,000) | |
| Standard Deviation | 1,188,969,747 | |
| Sample Variance | 1413649.1T | |
| Range | 3.2B | |
| R-Value | 0.82 | |
| Mean Square Error | 494588.5T | |
| R-Squared | 0.67 | |
| Significance | 0.000056 | |
| Slope | 193,012,475 | |
| Total Sum of Squares | 22618385T |
AES Net Income History
AES 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to AES's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of AES.
| 11/21/2025 |
| 02/19/2026 |
If you would invest 0.00 in AES on November 21, 2025 and sell it all today you would earn a total of 0.00 from holding The AES or generate 0.0% return on investment in AES over 90 days. AES is related to or competes with DANAHER (DAPSG), Advanced Micro, Philip Morris, Amgen, and Hong Kong. AES is entity of Germany. It is traded as Stock on MU exchange. More
AES Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure AES's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess The AES upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.77 | |||
| Information Ratio | 0.0834 | |||
| Maximum Drawdown | 11.65 | |||
| Value At Risk | (2.57) | |||
| Potential Upside | 2.19 |
AES Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AES's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AES's standard deviation. In reality, there are many statistical measures that can use AES historical prices to predict the future AES's volatility.| Risk Adjusted Performance | 0.0963 | |||
| Jensen Alpha | 0.1948 | |||
| Total Risk Alpha | 0.0781 | |||
| Sortino Ratio | 0.0858 | |||
| Treynor Ratio | 1.01 |
AES February 19, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0963 | |||
| Market Risk Adjusted Performance | 1.02 | |||
| Mean Deviation | 1.1 | |||
| Semi Deviation | 1.2 | |||
| Downside Deviation | 1.77 | |||
| Coefficient Of Variation | 846.18 | |||
| Standard Deviation | 1.83 | |||
| Variance | 3.33 | |||
| Information Ratio | 0.0834 | |||
| Jensen Alpha | 0.1948 | |||
| Total Risk Alpha | 0.0781 | |||
| Sortino Ratio | 0.0858 | |||
| Treynor Ratio | 1.01 | |||
| Maximum Drawdown | 11.65 | |||
| Value At Risk | (2.57) | |||
| Potential Upside | 2.19 | |||
| Downside Variance | 3.14 | |||
| Semi Variance | 1.43 | |||
| Expected Short fall | (1.52) | |||
| Skewness | 2.01 | |||
| Kurtosis | 10.98 |
AES Backtested Returns
AES appears to be not too volatile, given 3 months investment horizon. AES secures Sharpe Ratio (or Efficiency) of 0.17, which signifies that the company had a 0.17 % return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for The AES, which you can use to evaluate the volatility of the firm. Please makes use of AES's Mean Deviation of 1.1, risk adjusted performance of 0.0963, and Semi Deviation of 1.2 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, AES holds a performance score of 13. The firm shows a Beta (market volatility) of 0.2, which signifies not very significant fluctuations relative to the market. As returns on the market increase, AES's returns are expected to increase less than the market. However, during the bear market, the loss of holding AES is expected to be smaller as well. Please check AES's semi deviation, jensen alpha, maximum drawdown, as well as the relationship between the coefficient of variation and sortino ratio , to make a quick decision on whether AES's price patterns will revert.
Auto-correlation | 0.18 |
Very weak predictability
The AES has very weak predictability. Overlapping area represents the amount of predictability between AES time series from 21st of November 2025 to 5th of January 2026 and 5th of January 2026 to 19th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of AES price movement. The serial correlation of 0.18 indicates that over 18.0% of current AES price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.18 | |
| Spearman Rank Test | 0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.35 |
Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
| Competition |
AES Net Interest Income
Net Interest Income |
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Based on the recorded statements, The AES reported net income of 1.68 B. This is much higher than that of the Metals & Mining sector and significantly higher than that of the Materials industry. The net income for all Germany stocks is notably lower than that of the firm.
AES Net Income 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 Net Income 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 net income category among its peers.
AES ESG Sustainability
Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, AES's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to AES's managers, analysts, and investors.Environment Score | Governance Score | Social Score |
AES Fundamentals
| Current Valuation | 34.35 B | ||||
| Price To Book | 3.03 X | ||||
| Price To Sales | 0.97 X | ||||
| Revenue | 12.28 B | ||||
| EBITDA | 903 M | ||||
| Net Income | 1.68 B | ||||
| Total Debt | 3.59 B | ||||
| Cash Flow From Operations | 2.75 B | ||||
| Price To Earnings To Growth | 1.13 X | ||||
| Market Capitalization | 14.42 B | ||||
| Total Asset | 47.41 B | ||||
| Retained Earnings | 293 M | ||||
| Working Capital | (1.74 B) | ||||
| Annual Yield | 0.03 % | ||||
| Net Asset | 47.41 B | ||||
| Last Dividend Paid | 0.14 |
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.
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Additional 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.