Automatic Data Processing Stock

Automatic Data Processing Net Income

The The Net Income of Automatic Data Processing (ADP) as of Mar 5, 2026 is 4.53 B USD. In the previous year, The Net Income was 4.08 B USD — a change of 10.95% (higher).

Net Income

4.53 BUSD

YoY

10.95%

Last updated: Mar 5, 2026

In 2026, Automatic Data Processing's profit amounted to 4.53 B USD, a 10.95% increase from the 4.08 B USD profit recorded in the previous year.

The Automatic Data Processing Net Income history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

NET INCOME (B USD)
Date
NET INCOME (B USD)
Jan 1, 2006
1.55 base
Jan 1, 2007
1.14 base
Jan 1, 2008
1.24 base
Jan 1, 2009
1.33 base
Jan 1, 2010
1.21 base
Jan 1, 2011
1.25 base
Jan 1, 2012
1.39 base
Jan 1, 2013
1.41 base
Jan 1, 2014
1.52 base
Jan 1, 2015
1.45 base
Jan 1, 2016
1.49 base
Jan 1, 2017
1.79 base
Jan 1, 2018
1.88 base
Jan 1, 2019
2.29 base
Jan 1, 2020
2.47 base
YEARNET INCOME (B USD)
2030 est 5.89
2029 est 5.48
2028 est 5.34
2027 est 4.94
2026 est 4.53
2025 4.08
2024 3.75
2023 3.41
2022 2.95
2021 2.6
2020 2.47
2019 2.29
2018 1.88
2017 1.79
2016 1.49
2015 1.45
2014 1.52
2013 1.41
2012 1.39
2011 1.25
2010 1.21
2009 1.33
2008 1.24
2007 1.14
2006 1.55

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Automatic Data Processing Revenue

Automatic Data Processing Revenue, EBIT, Net Income

  • 3 Years

  • 5 Years

  • 10 Years

  • 25 Years

  • Max

Revenue
EBIT
Net Income
Details
Date
Revenue
EBIT
Net Income
Jan 1, 2006
6.84 B USD
1.3 B USD
1.55 B USD
Jan 1, 2007
7.8 B USD
1.51 B USD
1.14 B USD
Jan 1, 2008
8.73 B USD
1.72 B USD
1.24 B USD
Jan 1, 2009
8.84 B USD
1.83 B USD
1.33 B USD
Jan 1, 2010
8.93 B USD
1.77 B USD
1.21 B USD
Jan 1, 2011
9.83 B USD
1.81 B USD
1.25 B USD
Jan 1, 2012
10.6 B USD
1.94 B USD
1.39 B USD
Jan 1, 2013
9.44 B USD
1.67 B USD
1.41 B USD
Jan 1, 2014
10.23 B USD
1.82 B USD
1.52 B USD
Jan 1, 2015
10.94 B USD
2.01 B USD
1.45 B USD
Jan 1, 2016
11.67 B USD
2.19 B USD
1.49 B USD
Jan 1, 2017
12.37 B USD
2.44 B USD
1.79 B USD
Jan 1, 2018
13.27 B USD
2.56 B USD
1.88 B USD
Jan 1, 2019
14.11 B USD
3.02 B USD
2.29 B USD
Jan 1, 2020
14.59 B USD
3.14 B USD
2.47 B USD

Automatic Data Processing Margins

Automatic Data Processing stock margins

The Automatic Data Processing margin analysis displays the gross margin, EBIT margin, as well as the profit margin of Automatic Data Processing. The EBIT margin (EBIT/sales) indicates the percentage of sales that remains as operating profit. The profit margin shows the percentage of sales that remains for Automatic Data Processing.
  • 3 Years

  • 5 Years

  • 10 Years

  • 25 Years

  • Max

Gross margin
EBIT margin
Profit margin
Details
Date
Gross margin
EBIT margin
Profit margin
Jan 1, 2006
47.28 %
18.99 %
22.73 %
Jan 1, 2007
47.6 %
19.31 %
14.6 %
Jan 1, 2008
46.68 %
19.66 %
14.15 %
Jan 1, 2009
45.43 %
20.65 %
15.08 %
Jan 1, 2010
43.66 %
19.83 %
13.57 %
Jan 1, 2011
44.49 %
18.41 %
12.76 %
Jan 1, 2012
41.45 %
18.3 %
13.1 %
Jan 1, 2013
41.1 %
17.66 %
14.89 %
Jan 1, 2014
41.08 %
17.75 %
14.82 %
Jan 1, 2015
41.43 %
18.41 %
13.28 %
Jan 1, 2016
41.52 %
18.77 %
12.79 %
Jan 1, 2017
41.59 %
19.75 %
14.45 %
Jan 1, 2018
41.74 %
19.27 %
14.2 %
Jan 1, 2019
43.29 %
21.43 %
16.25 %
Jan 1, 2020
42.24 %
21.53 %
16.91 %

Automatic Data Processing Stock analysis

What does Automatic Data Processing do? Automatic Data Processing Inc. (ADP) is an American company specializing in providing management solutions for human resources, payroll, tax and compliance management, and more. It was founded in 1949 by Henry Taub in New Jersey. ADP originally started with payroll processing for small businesses. In the 1960s, it became known for its leading role in data processing for the government and the US military. With the introduction of mainframe computers, ADP began automating its business models and processes and expanding its services to customers worldwide. Over the years, ADP has expanded its portfolio of services and products to adapt to the constantly changing demands of the workforce. It has gained an excellent reputation in the human resources management solutions industry through its innovative technology and focus on customer satisfaction. ADP operates in three main business segments: Employer Services, Professional Employer Organization, and Dealer Services. Employer Services provides comprehensive solutions for payroll, tax administration and compliance, human resources, performance and talent management. ADP offers a wide range of tools and systems to support its clients' HR departments and optimize their operations. These tools include time tracking, entitlement calculation, compliance reporting, employee registration, incentive payments, and more. Professional Employer Organization (PEO) offers business process outsourcing (BPO) for HR departments. By outsourcing HR administration, businesses can save costs and focus on new business development opportunities. ADP offers outsourcing solutions for personnel management, payroll, compliance, and other HR challenges. Customers can take advantage of the benefits of outsourcing while retaining control over their employees. The Dealer Services division offers automotive management solutions for auto dealerships. ADP supports the automotive industry in areas such as financing, insurance, sales management, accounting, and personnel management. This division addresses ADP's solutions for automotive retail and automakers. One of ADP's main product lines is payroll services for small and medium-sized businesses. ADP's payroll system allows for accurate payroll processing for employees, as well as tax and salary deductions, and more. The system also integrates simple solutions for time tracking and employee self-service. Another important product line is ADP Compliance Solutions. This enables companies to generate compliance reports and ensure compliance with labor laws and regulations. ADP's compliance solutions are based on its extensive knowledge in areas such as taxes, labor law, data protection, and other areas where compliance is required. Through mergers and acquisitions in recent years, ADP has expanded its portfolio of services and is emphasizing the integration of innovative technologies into its business processes. In summary, ADP is a leading company in the field of human resources management solutions and payroll. It has decades of experience in providing services to customers worldwide. ADP strives to adapt to the constantly changing demands of the workforce by expanding its product lines and services and investing in advanced technologies to provide its customers with top-notch solutions. Automatic Data Processing is one of the most popular companies on Eulerpool.com.

Net Income Details

Understanding Automatic Data Processing's Profit Margins

The profit margins of Automatic Data Processing represent the net income earned after deducting all operational expenses, costs, and taxes from the revenue. This figure is a clear indicator of Automatic Data Processing's financial health, operational efficiency, and profitability. Higher profit margins signify better cost management and income generation capabilities.

Year-to-Year Comparison

Evaluating Automatic Data Processing's profit on a yearly basis can offer significant insights into its financial growth, stability, and trends. A consistent increase in profit suggests improved operational efficiency, cost management, or increased revenue, while a decrease may indicate rising costs, declining sales, or operational challenges.

Impact on Investments

Automatic Data Processing's profit figures are critical for investors who are aiming to understand the company's financial standing and future growth prospects. Increased profits often lead to higher stock valuations, boosting investor confidence and attracting more investments.

Interpreting Profit Fluctuations

When Automatic Data Processing’s profit increases, it often indicates enhanced operational efficiency or increased sales. In contrast, a decline in profit can signal operational inefficiencies, increased costs, or competitive pressures, necessitating strategic interventions to boost profitability.

Frequently Asked Questions about Automatic Data Processing stock

The Net Income of Automatic Data Processing amounted to 4.08 B USD 4.53 B

The profit in evaluating a stock

History, usage, calculation, and application of earnings in securities trading.

The history of earnings dates back to the beginnings of modern business organization. Since the beginning of industrialization, companies have been established to generate profits, and profits have been considered an essential part of corporate management. In recent years, the importance of earnings for investors has continued to rise, as many investors seek to find stocks that generate solid earnings.

Use of Profits

In securities trading, profits are used to determine the value of a stock. A company that generates profits is considered financially healthy and its stocks are valued higher, while a company that does not generate profits is considered less reliable and therefore receives a lower valuation. Investors can review the profits of each company by examining the relevant documents such as the income statement, the annual financial statements, and the income tax audits.

Calculation of profits

There are several different ways to calculate profits. The simplest way to calculate profits is by calculating net earnings. Net earnings are calculated by subtracting the company's expenses from its revenue. Another way to calculate profits is by calculating operating income. Operating income is calculated by subtracting the company's materials costs and employee wages and salaries from its revenue.

Use of profits

There are many different ways in which investors can use profits when evaluating stocks. One example is calculating the price-to-earnings ratio (P/E ratio). The P/E ratio is the relationship between the price of a stock and the company's earnings. When calculating the P/E ratio, the stock price is divided by the company's earnings. A low P/E value indicates that the stock has a good price-performance ratio, and a high P/E value indicates that the stock has a poor price-performance ratio.

Advantages and disadvantages of using profits

There are many advantages to using earnings in securities trading. Firstly, investors can check the financial health of a company by analyzing earnings. Secondly, investors can make a better decision about the valuation of a stock by calculating the P/E ratio. Thirdly, investors can reduce their risk by choosing stocks with a low P/E ratio.

However, there are also some drawbacks to relying on profits. Firstly, profits can be distorted if a company increases its profits through cost-cutting measures. Secondly, profits can present an inaccurate picture of a company's financial health if they are not calculated correctly. Thirdly, profits may not always be a reliable indicator of a company's future, as they can easily fluctuate.

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Overall, it can be said that profits in securities trading are an important indicator of a company's financial health. Investors can analyze profits to get a better understanding of the company's financial health and make informed decisions about stock valuation. However, there are some disadvantages to using profits as they can sometimes be distorted or inaccurate. Therefore, it is important for investors to be cautious and carefully analyze profits before making a decision to buy or sell stocks.

Income Statement — Automatic Data Processing

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All Key Metrics — Automatic Data Processing