Automatic Total Assets from 2010 to 2026

ADP Stock  EUR 206.25  0.75  0.36%   
Automatic Data's Total Assets are increasing over the last several years with slightly volatile swings. Total Assets are predicted to flatten to about 49 B. Total Assets is the total value of all owned resources that are expected to provide future economic benefits to the business, including cash, investments, accounts receivable, inventory, property, plant, equipment, and intangible assets. View All Fundamentals
 
Total Assets  
First Reported
2017-03-31
Previous Quarter
54.3 B
Current Value
84.6 B
Quarterly Volatility
10.8 B
 
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 Total Assets 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 Total Assets Growth Pattern

Below is the plot of the Total Assets of Automatic Data Processing over the last few years. Total assets refers to the total amount of Automatic Data assets owned. Assets are items that have some economic value and are expended over time to create a benefit for the owner. These assets are usually recorded in Automatic Data Processing books under different categories such as cash, marketable securities, accounts receivable,prepaid expenses, inventory, fixed assets, intangible assets, other assets, marketable securities, accounts receivable, prepaid expenses and others. It is the total value of all owned resources that are expected to provide future economic benefits to the business, including cash, investments, accounts receivable, inventory, property, plant, equipment, and intangible assets. Automatic Data's Total Assets 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.
ViewLast Reported 53.37 B10 Years Trend
Slightly volatile
   Total Assets   
       Timeline  

Automatic Total Assets Regression Statistics

Arithmetic Mean43,604,394,265
Geometric Mean42,454,769,287
Coefficient Of Variation24.09
Mean Deviation8,913,876,280
Median41,887,700,000
Standard Deviation10,504,701,975
Sample Variance110348763.6T
Range31B
R-Value0.87
Mean Square Error29406042.7T
R-Squared0.75
Slope1,801,748,591
Total Sum of Squares1765580217.3T

Automatic Total Assets History

202649 B
202561.4 B
202453.4 B
202354.4 B
202251 B
202163.1 B
202048.8 B

About Automatic Data Financial Statements

Automatic Data stakeholders use historical fundamental indicators, such as Automatic Data's Total Assets, 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
Total Assets61.4 B49 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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.