Applied Materials Cdr Stock Net Income
| AMAT Stock | 37.02 0.87 2.41% |
As of the 3rd of February, Applied Materials shows the Mean Deviation of 2.26, downside deviation of 2.6, and Risk Adjusted Performance of 0.1467. Applied Materials CDR 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.
Applied Materials Total Revenue |
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Market Capitalization 206.8 B | Earnings Share 8.6711 |
| Last Reported | Projected for Next Year | ||
| Net Income Applicable To Common Shares | 8 B | 7.7 B | |
| Net Income | 8 B | 7.7 B |
Applied | Net Income |
Evaluating Applied Materials's Net Income across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Applied Materials CDR's fundamental strength.
Latest Applied Materials' Net Income Growth Pattern
Below is the plot of the Net Income of Applied Materials CDR over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Applied Materials CDR financial statement analysis. It represents the amount of money remaining after all of Applied Materials CDR operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Applied Materials' Net Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Applied Materials' overall financial position and show how it may be relating to other accounts over time.
| View | Last Reported 7 B | 10 Years Trend |
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Net Income |
| Timeline |
Applied Net Income Regression Statistics
| Arithmetic Mean | 7,003,650,980 | |
| Geometric Mean | 6,996,183,756 | |
| Coefficient Of Variation | 4.93 | |
| Mean Deviation | 226,483,968 | |
| Median | 6,856,000,000 | |
| Standard Deviation | 344,999,295 | |
| Sample Variance | 119024.5T | |
| Range | 1.2B | |
| R-Value | 0.63 | |
| Mean Square Error | 76104.2T | |
| R-Squared | 0.40 | |
| Significance | 0.01 | |
| Slope | 43,239,788 | |
| Total Sum of Squares | 1904392.2T |
Applied Net Income History
Applied Materials '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 Applied Materials' 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 Applied Materials.
| 11/05/2025 |
| 02/03/2026 |
If you would invest 0.00 in Applied Materials on November 5, 2025 and sell it all today you would earn a total of 0.00 from holding Applied Materials CDR or generate 0.0% return on investment in Applied Materials over 90 days. Applied Materials is related to or competes with Rogers Communications, Super Micro, Verizon Communications, Champion Iron, and Endeavour Silver. Applied Materials is entity of Canada. It is traded as Stock on TO exchange. More
Applied Materials 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 Applied Materials' 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 Applied Materials CDR upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.6 | |||
| Information Ratio | 0.1703 | |||
| Maximum Drawdown | 11.99 | |||
| Value At Risk | (4.10) | |||
| Potential Upside | 5.32 |
Applied Materials Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Applied Materials' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Applied Materials' standard deviation. In reality, there are many statistical measures that can use Applied Materials historical prices to predict the future Applied Materials' volatility.| Risk Adjusted Performance | 0.1467 | |||
| Jensen Alpha | 0.498 | |||
| Total Risk Alpha | 0.3499 | |||
| Sortino Ratio | 0.1849 | |||
| Treynor Ratio | 0.8642 |
Applied Materials February 3, 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 | 0.1467 | |||
| Market Risk Adjusted Performance | 0.8742 | |||
| Mean Deviation | 2.26 | |||
| Semi Deviation | 2.31 | |||
| Downside Deviation | 2.6 | |||
| Coefficient Of Variation | 526.05 | |||
| Standard Deviation | 2.82 | |||
| Variance | 7.95 | |||
| Information Ratio | 0.1703 | |||
| Jensen Alpha | 0.498 | |||
| Total Risk Alpha | 0.3499 | |||
| Sortino Ratio | 0.1849 | |||
| Treynor Ratio | 0.8642 | |||
| Maximum Drawdown | 11.99 | |||
| Value At Risk | (4.10) | |||
| Potential Upside | 5.32 | |||
| Downside Variance | 6.74 | |||
| Semi Variance | 5.33 | |||
| Expected Short fall | (2.59) | |||
| Skewness | 0.0521 | |||
| Kurtosis | (0.27) |
Applied Materials CDR Backtested Returns
Applied Materials appears to be very steady, given 3 months investment horizon. Applied Materials CDR secures Sharpe Ratio (or Efficiency) of 0.19, which signifies that the company had a 0.19 % return per unit of risk over the last 3 months. By analyzing Applied Materials' technical indicators, you can evaluate if the expected return of 0.55% is justified by implied risk. Please makes use of Applied Materials' Risk Adjusted Performance of 0.1467, mean deviation of 2.26, and Downside Deviation of 2.6 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Applied Materials holds a performance score of 15. The firm shows a Beta (market volatility) of 0.61, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Applied Materials' returns are expected to increase less than the market. However, during the bear market, the loss of holding Applied Materials is expected to be smaller as well. Please check Applied Materials' standard deviation, total risk alpha, treynor ratio, as well as the relationship between the jensen alpha and sortino ratio , to make a quick decision on whether Applied Materials' price patterns will revert.
Auto-correlation | 0.77 |
Good predictability
Applied Materials CDR has good predictability. Overlapping area represents the amount of predictability between Applied Materials time series from 5th of November 2025 to 20th of December 2025 and 20th of December 2025 to 3rd 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 Applied Materials CDR price movement. The serial correlation of 0.77 indicates that around 77.0% of current Applied Materials price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.77 | |
| Spearman Rank Test | 0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 8.89 |
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 |
Applied Interest Income
Interest Income |
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Based on the recorded statements, Applied Materials CDR reported net income of 7 B. This is much higher than that of the Technology sector and significantly higher than that of the Semiconductor Equipment & Materials industry. The net income for all Canada stocks is significantly lower than that of the firm.
Applied Net Income Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Applied Materials' 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 Applied Materials could also be used in its relative valuation, which is a method of valuing Applied Materials by comparing valuation metrics of similar companies.Applied Materials is currently under evaluation in net income category among its peers.
Applied Fundamentals
| Return On Equity | 35.51 | ||||
| Net Income | 7 B | ||||
| Cash Flow From Operations | 7.96 B | ||||
| Earnings Per Share | 8.67 X | ||||
| Number Of Employees | 36.5 K | ||||
| Market Capitalization | 206.78 B |
About Applied Materials Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Applied Materials CDR's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Applied Materials using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Applied Materials CDR 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.
Pair Trading with Applied Materials
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 Applied Materials 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 Applied Materials will appreciate offsetting losses from the drop in the long position's value.Moving together with Applied Stock
Moving against Applied Stock
The ability to find closely correlated positions to Applied Materials could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Applied Materials 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 Applied Materials - 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 Applied Materials CDR to buy it.
The correlation of Applied Materials 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 Applied Materials moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Applied Materials CDR 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 Applied Materials 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.Other Information on Investing in Applied Stock
Applied Materials financial ratios help investors to determine whether Applied Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Applied with respect to the benefits of owning Applied Materials security.