Automatic Net Working Capital from 2010 to 2026

ADP Stock  EUR 206.25  0.75  0.36%   
Automatic Data's Net Working Capital is decreasing over the last several years with slightly volatile swings. Net Working Capital is predicted to flatten to about 1 B. During the period from 2010 to 2026 Automatic Data Processing Net Working Capital regressed destribution of quarterly values had coefficient of variationof  61.85 and r-value of (0.68). View All Fundamentals
 
Net Working Capital  
First Reported
2020-03-31
Previous Quarter
2.3 B
Current Value
2.3 B
Quarterly Volatility
1.2 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 Net Working Capital 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 Net Working Capital Growth Pattern

Below is the plot of the Net Working Capital of Automatic Data Processing over the last few years. It is Automatic Data's Net Working Capital 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.
Net Working Capital10 Years Trend
Slightly volatile
   Net Working Capital   
       Timeline  

Automatic Net Working Capital Regression Statistics

Arithmetic Mean1,861,346,471
Geometric Mean1,663,812,326
Coefficient Of Variation61.85
Mean Deviation913,927,266
Median1,973,900,000
Standard Deviation1,151,197,202
Sample Variance1325255T
Range3.4B
R-Value(0.68)
Mean Square Error767227.9T
R-Squared0.46
Significance0
Slope(154,155,368)
Total Sum of Squares21204080T

Automatic Net Working Capital History

2026B
20251.8 B
2024B
2023462.5 M
2022-597 M
2021-353.8 M
20202.6 B

About Automatic Data Financial Statements

Automatic Data stakeholders use historical fundamental indicators, such as Automatic Data's Net Working Capital, 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
Net Working Capital1.8 BB

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 FinTech Suite module to use AI to screen and filter 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.