Applied Net Income from 2010 to 2024

AIT Stock  USD 183.60  0.15  0.08%   
Applied Industrial Net Income yearly trend continues to be comparatively stable with very little volatility. Net Income is likely to outpace its year average in 2024. From the period from 2010 to 2024, Applied Industrial Net Income quarterly data regression had r-value of  0.79 and coefficient of variation of  78.35. View All Fundamentals
 
Net Income  
First Reported
1989-12-31
Previous Quarter
93.8 M
Current Value
91.2 M
Quarterly Volatility
23.8 M
 
Oil Shock
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Applied Industrial financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Applied main balance sheet or income statement drivers, such as Depreciation And Amortization of 64.1 M, Interest Expense of 29.9 M or Selling General Administrative of 984.5 M, as well as many exotic indicators such as Price To Sales Ratio of 1.2, Dividend Yield of 0.0104 or PTB Ratio of 3.62. Applied financial statements analysis is a perfect complement when working with Applied Industrial Valuation or Volatility modules.
  
This module can also supplement Applied Industrial's financial leverage analysis and stock options assessment as well as various Applied Industrial Technical models . Check out the analysis of Applied Industrial Correlation against competitors.

Latest Applied Industrial's Net Income Growth Pattern

Below is the plot of the Net Income of Applied Industrial Technologies over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Applied Industrial financial statement analysis. It represents the amount of money remaining after all of Applied Industrial Technologies operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Applied Industrial's Net Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Applied Industrial's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 346.74 M10 Years Trend
Slightly volatile
   Net Income   
       Timeline  

Applied Net Income Regression Statistics

Arithmetic Mean166,461,813
Geometric Mean102,934,168
Coefficient Of Variation78.35
Mean Deviation100,765,725
Median133,910,000
Standard Deviation130,422,488
Sample Variance17010T
Range416.5M
R-Value0.79
Mean Square Error6841.7T
R-Squared0.63
Significance0.0004
Slope23,083,537
Total Sum of Squares238140.4T

Applied Net Income History

2024418.7 M
2023398.7 M
2022346.7 M
2021257.4 M
2020144.8 M
201924 M
2018144 M

Other Fundumenentals of Applied Industrial

Applied Industrial Net Income component correlations

About Applied Industrial Financial Statements

There are typically three primary documents that fall into the category of financial statements. These documents include Applied Industrial income statement, its balance sheet, and the statement of cash flows. Applied Industrial investors use historical funamental indicators, such as Applied Industrial's Net Income, to determine how well the company is positioned to perform in the future. Although Applied Industrial investors may use each financial statement separately, they are all related. The changes in Applied Industrial's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Applied Industrial's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Applied Industrial Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Applied Industrial. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Net Income398.7 M418.7 M
Net Income Applicable To Common Shares398.7 M418.7 M
Net Income From Continuing Ops398.7 M418.7 M
Net Income Per Share 8.09  8.49 
Net Income Per E B T 0.69  0.50 

Pair Trading with Applied Industrial

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 Industrial 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 Industrial will appreciate offsetting losses from the drop in the long position's value.

Moving together with Applied Stock

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Moving against Applied Stock

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The ability to find closely correlated positions to Applied Industrial 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 Industrial 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 Industrial - 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 Industrial Technologies to buy it.
The correlation of Applied Industrial 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 Industrial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Applied Industrial 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 Industrial 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 Applied Industrial is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Applied Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Applied Industrial Technologies Stock. Highlighted below are key reports to facilitate an investment decision about Applied Industrial Technologies Stock:
Check out the analysis of Applied Industrial Correlation against competitors.
You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.

Complementary Tools for Applied Stock analysis

When running Applied Industrial's price analysis, check to measure Applied Industrial'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 Applied Industrial is operating at the current time. Most of Applied Industrial's value examination focuses on studying past and present price action to predict the probability of Applied Industrial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Applied Industrial's price. Additionally, you may evaluate how the addition of Applied Industrial to your portfolios can decrease your overall portfolio volatility.
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Is Applied Industrial'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 Applied Industrial. If investors know Applied 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 Applied Industrial 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
0.132
Dividend Share
1.4
Earnings Share
9.52
Revenue Per Share
115.377
Quarterly Revenue Growth
0.016
The market value of Applied Industrial is measured differently than its book value, which is the value of Applied that is recorded on the company's balance sheet. Investors also form their own opinion of Applied Industrial's value that differs from its market value or its book value, called intrinsic value, which is Applied Industrial'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 Applied Industrial's market value can be influenced by many factors that don't directly affect Applied Industrial'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 Applied Industrial's value and its price as these two are different measures arrived at by different means. Investors typically determine if Applied Industrial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Applied Industrial'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.