Applied Common Stock Shares Outstanding from 2010 to 2024

AIT Stock  USD 277.11  7.88  2.93%   
Applied Industrial Common Stock Shares Outstanding yearly trend continues to be comparatively stable with very little volatility. Common Stock Shares Outstanding will likely drop to about 33.3 M in 2024. Common Stock Shares Outstanding is the total number of shares of a company's common stock that are currently owned by all its shareholders. View All Fundamentals
 
Common Stock Shares Outstanding  
First Reported
1985-09-30
Previous Quarter
39.2 M
Current Value
38.9 M
Quarterly Volatility
8.8 M
 
Black Monday
 
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 Industrial's main balance sheet or income statement drivers, such as Depreciation And Amortization of 29.5 M, Interest Expense of 21.6 M or Selling General Administrative of 446.3 M, as well as many indicators such as Price To Sales Ratio of 1.72, Dividend Yield of 0.0072 or PTB Ratio of 4.57. Applied financial statements analysis is a perfect complement when working with Applied Industrial Valuation or Volatility modules.
  
Check out the analysis of Applied Industrial Correlation against competitors.

Latest Applied Industrial's Common Stock Shares Outstanding Growth Pattern

Below is the plot of the Common Stock Shares Outstanding of Applied Industrial Technologies over the last few years. It is the total number of shares of a company's common stock that are currently owned by all its shareholders. Applied Industrial's Common Stock Shares Outstanding 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.
Common Stock Shares Outstanding10 Years Trend
Slightly volatile
   Common Stock Shares Outstanding   
       Timeline  

Applied Common Stock Shares Outstanding Regression Statistics

Arithmetic Mean40,061,335
Geometric Mean39,973,410
Coefficient Of Variation6.77
Mean Deviation1,887,798
Median39,296,000
Standard Deviation2,712,863
Sample Variance7.4T
Range12.3M
R-Value(0.85)
Mean Square Error2.2T
R-Squared0.72
Significance0.000066
Slope(514,171)
Total Sum of Squares103T

Applied Common Stock Shares Outstanding History

202433.3 M
202339.3 M
202239.2 M
202139.1 M
202039.3 M
201939 M
201839.2 M

About Applied Industrial Financial Statements

Applied Industrial shareholders use historical fundamental indicators, such as Common Stock Shares Outstanding, to determine how well the company is positioned to perform in the future. Although Applied Industrial investors may analyze each financial statement separately, they are all interrelated. The changes in Applied Industrial's assets and liabilities, for example, are also reflected in the revenues and expenses on on Applied Industrial's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Common Stock Shares Outstanding39.3 M33.3 M

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Additional 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.