Automatic Operating Income from 2010 to 2026

ADP Stock  EUR 199.00  11.25  5.35%   
Automatic Data's Operating Income is increasing over the last several years with slightly volatile swings. Operating Income is predicted to flatten to about 3.5 B. Operating Income is earnings before interest and taxes (EBIT), representing the amount of profit Automatic Data Processing generates from its operations. View All Fundamentals
 
Operating Income  
First Reported
2017-03-31
Previous Quarter
1.3 B
Current Value
1.4 B
Quarterly Volatility
275.1 M
 
Covid
 
Interest Hikes
Check Automatic Data financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Automatic Data's main balance sheet or income statement drivers, such as Interest Expense of 550.5 M, Selling General Administrative of 3.4 B or Total Revenue of 16.1 B, as well as many indicators such as . Automatic financial statements analysis is a perfect complement when working with Automatic Data Valuation or Volatility modules.
  
This module can also supplement various Automatic Data Technical models . Check out the analysis of Automatic Data Correlation against competitors.
The Operating Income trend for Automatic Data Processing offers valuable insights into the company's financial trajectory and strategic direction. By examining multi-year patterns, investors can identify whether Automatic Data is strengthening or weakening its position, and how this metric correlates with broader market conditions and industry benchmarks.

Latest Automatic Data's Operating Income Growth Pattern

Below is the plot of the Operating Income of Automatic Data Processing over the last few years. Operating Income is the amount of profit realized from Automatic Data Processing operations after accounting for operating expenses such as cost of goods sold (COGS), wages and depreciation. Operating income takes the gross income and subtracts other operating expenses and then removes depreciation. Operating Income of Automatic Data Processing is typically a synonym for earnings before interest and taxes (EBIT) and is also commonly referred to as operating profit or recurring profit. It is earnings before interest and taxes (EBIT), representing the amount of profit a company generates from its operations. Automatic Data's Operating Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Automatic Data's overall financial position and show how it may be relating to other accounts over time.
Operating Income10 Years Trend
Slightly volatile
   Operating Income   
       Timeline  

Automatic Operating Income Regression Statistics

Arithmetic Mean3,110,065,000
Geometric Mean2,875,319,952
Coefficient Of Variation43.06
Mean Deviation1,020,410,000
Median3,024,400,000
Standard Deviation1,339,147,597
Sample Variance1793316.3T
Range4.4B
R-Value0.87
Mean Square Error465131.2T
R-Squared0.76
Slope230,706,998
Total Sum of Squares28693060.6T

Automatic Operating Income History

20263.5 B
20256.2 B
20245.4 B
20234.9 B
20223.7 B
20213.4 B
20203.3 B

About Automatic Data Financial Statements

Automatic Data stakeholders use historical fundamental indicators, such as Automatic Data's Operating Income, to determine how well the company is positioned to perform in the future. Although Automatic Data investors may analyze each financial statement separately, they are all interrelated. For example, changes in Automatic Data's assets and liabilities are reflected in the revenues and expenses on Automatic Data's income statement, which ultimately affect the company's gains or losses. Understanding these patterns can help in making the right long-term investment decisions in Automatic Data Processing. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Operating Income6.2 B3.5 B

Currently Active Assets on Macroaxis

When determining whether Automatic Data Processing 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 Automatic 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 Automatic Data Processing Stock. Highlighted below are key reports to facilitate an investment decision about Automatic Data Processing Stock:
Check out the analysis of Automatic Data Correlation against competitors.
You can also try the AI Portfolio Prophet module to use AI to generate optimal portfolios and find profitable investment opportunities.
Understanding that Automatic Data's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Automatic Data represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. In contrast, Automatic Data's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.