Automatic Data Processing (ADP) Stock Price

Automatic Data Processing Price

🇺🇸NASDAQ·CLOSED
217.38USD
Market closed
Today +/-
Today %

Automatic Data Processing (ADP) Stock | ISIN US0530151036 | WKN 850347. The current Automatic Data Processing stock price is 217.38 USD (2026). Revenue is 22.02 B USD. Net income is 4.53 B USD. The P/E ratio is 19.63. Market capitalization is 88.85 B USD. Automatic Data Processing operates in the Information technology sector.

Revenue has compounded at 6% per year over the past 19 years to 20.56 B USD. Earnings per share have grown at 7.2% per year over the last 19 years. Automatic Data Processing's net margin stands at 19.8%, up from 17.3% several years earlier. Automatic Data Processing currently offers a dividend yield of about 2.91%. The payout ratio is around 63% of earnings. The dividend has grown at 11.6% per year over the past 19 years.

Automatic Data Processing stock price

Ex-Dividend
Details

Stock Price

ⓘ

How to Read This Chart

This chart tracks the historical stock price of Automatic Data Processing over time. You can switch between daily, weekly, and monthly views and select custom time ranges — from a single day to the full available history. Use the toggle to view price changes in absolute currency terms or as a percentage change relative to the starting date.

Total Return vs. Price Return

The "Total Return" toggle includes reinvested dividends on top of the pure price movement. This is critical because dividends can account for a significant portion of long-term returns. Historically, roughly 40 % of the S&P 500's total return has come from dividends. Always compare total return when evaluating a stock's real performance against a benchmark.

Intraday Price Data

When viewing a one-day time frame, the chart displays real-time intraday price movements. This is useful for observing how Automatic Data Processing stock reacts to market openings, earnings releases, or breaking news throughout the trading session.

What to Look For

Look for long-term trends (sustained upward or downward movements over months and years), support and resistance levels (price zones where the stock repeatedly bounces or reverses), and volatility (how much the price fluctuates day to day). Comparing Automatic Data Processing's price chart to a market index like the S&P 500 can reveal whether the stock is outperforming or underperforming the broader market.

Automatic Data Processing Stock Price History
DateAutomatic Data Processing Price
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Automatic Data Processing Revenue, EBIT, Net Income

  • 3 Years

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  • 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 Income Statement, Balance Sheet, Cash Flow Statement

Last updated Jun 20, 2026, 12:02 PM
 
REVENUE (B USD)
REVENUE GROWTH (%)
GROSS MARGIN (%)
GROSS INCOME (B USD)
NET INCOME (B USD)
NET INCOME GROWTH (%)
DIV. (USD)
DIV. GROWTH (%)
SHARES (M)
DOCUMENTS
2023202420252026e2027e2028e2029e2030e
18.0119.220.5622.0223.2724.5925.7727.21
9.186.617.077.095.675.74.795.59
44.9145.6246.2143.1540.8338.6336.8634.91
8.098.769.59.59.59.59.59.5
3.413.754.084.534.945.355.485.89
15.749.968.7210.989.18.242.457.47
5.155.746.326.597.618.24--
17.8511.4610.14.2715.488.28––
415.7412.2408.7408.7408.7408.7408.7408.7
––––––––
Details

Income Statement Key Figures

ⓘ

Revenue and Revenue Growth

Revenue is the starting point of every income statement — it measures the total sales Automatic Data Processing generates from its core business. Revenue growth (expressed as year-over-year percentage change) is one of the most important indicators of business momentum. Sustained growth above 10 % annually is generally considered strong, while declining revenue is a serious warning sign that demands investigation.

Gross Margin

Gross margin = (Revenue − Cost of Goods Sold) ÷ Revenue. It reveals what percentage of each dollar of revenue Automatic Data Processing retains after direct production costs. High gross margins (above 50 %) are typical of asset-light businesses like software and brands, while capital-intensive industries like manufacturing often operate below 30 %. Compare Automatic Data Processing's gross margin to industry peers and track it over time to spot improving or deteriorating pricing power.

EBIT and EBIT Margin

EBIT measures operating profit — what remains after subtracting all operating expenses (including R&D, sales, and administrative costs) from gross profit. The EBIT margin shows this as a percentage of revenue. Because it excludes interest and taxes, EBIT allows fair comparisons between companies with different debt levels and tax jurisdictions. A rising EBIT margin indicates improving operational efficiency.

Net Income and Earnings Per Share (EPS)

Net income is the company's final profit after all expenses, interest, and taxes. Dividing net income by the number of shares outstanding gives you EPS — the single most influential metric in stock valuation. Consistent EPS growth is the primary driver of long-term stock price appreciation. Always check whether EPS growth comes from genuine profit improvement or from share buybacks reducing the share count.

Shares Outstanding

The total number of shares Automatic Data Processing has issued. A declining share count (through buybacks) boosts EPS and signals management confidence. A rising share count (through stock issuance) dilutes existing shareholders. Always monitor this number alongside EPS to get the full picture of per-share value creation.

Analyst Estimates

The projected figures represent consensus estimates from professional analysts. Compare these forecasts against Automatic Data Processing's historical growth rates to assess whether expectations are realistic. A company that consistently beats consensus estimates tends to see its stock price rewarded over time, while repeated misses erode investor confidence.

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

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  • 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 Revenue, EBIT, Earnings per Share

The Automatic Data Processing earnings per share therefore indicates how much revenue Automatic Data Processing has generated per share in a given period. The earnings before interest and taxes per share shows how much of the operating profit corresponds to each share. The earnings per share indicates how much of the profit belongs to each share.

  • 3 Years

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  • Max

Revenue per Share
EBIT per share
Earnings per Share
Details
Date
Revenue per Share
EBIT per share
Earnings per Share
Jan 1, 2006
11.78 USD
2.24 USD
2.68 USD
Jan 1, 2007
13.98 USD
2.7 USD
2.04 USD
Jan 1, 2008
16.57 USD
3.26 USD
2.34 USD
Jan 1, 2009
17.47 USD
3.61 USD
2.63 USD
Jan 1, 2010
17.72 USD
3.52 USD
2.41 USD
Jan 1, 2011
19.73 USD
3.63 USD
2.52 USD
Jan 1, 2012
21.53 USD
3.94 USD
2.82 USD
Jan 1, 2013
19.38 USD
3.42 USD
2.89 USD
Jan 1, 2014
21.17 USD
3.76 USD
3.14 USD
Jan 1, 2015
22.99 USD
4.23 USD
3.05 USD
Jan 1, 2016
25.41 USD
4.77 USD
3.25 USD
Jan 1, 2017
27.48 USD
5.43 USD
3.97 USD
Jan 1, 2018
29.94 USD
5.77 USD
4.25 USD
Jan 1, 2019
32.24 USD
6.91 USD
5.24 USD
Jan 1, 2020
33.72 USD
7.26 USD
5.7 USD

Automatic Data Processing business model & stock analysis

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 SWOT Analysis

Strengths

Automatic Data Processing Inc (ADP) has several strengths that contribute to its success in the market. These include:

  • Strong brand recognition and reputation in the industry.
  • Diversified portfolio of products and services.
  • Extensive global presence and customer base.
  • Robust technology infrastructure and scalable solutions.
  • Highly skilled and experienced workforce.

Despite its strengths, ADP also faces certain weaknesses that could impact its performance. These include:

  • Dependency on a few key clients for a significant portion of revenues.
  • Limited geographic diversity, with a majority of revenue generated in the United States.
  • Relatively high costs associated with research and development.
  • Dependency on third-party vendors for certain components of its solutions.
  • Potential vulnerability to cybersecurity threats.

ADP can leverage several opportunities to drive growth and expand its market presence. These include:

  • Increasing demand for cloud-based HR and payroll solutions.
  • Expansion into emerging markets with untapped potential.
  • Growing adoption of data analytics and AI technologies in HR management.
  • Strategic partnerships and acquisitions to enhance product offerings.
  • Expansion of its service offerings to cater to changing customer needs.

ADP faces certain threats that could negatively impact its business operations. These threats include:

  • Intense competition from both established players and emerging startups.
  • Increasing regulatory requirements and compliance costs.
  • Economic downturns affecting client spending and demand for services.
  • Risk of data breaches and privacy concerns.
  • Disruption from technological advancements and changing market trends.

Weaknesses

Despite its strengths, ADP also faces certain weaknesses that could impact its performance. These include:

  • Dependency on a few key clients for a significant portion of revenues.
  • Limited geographic diversity, with a majority of revenue generated in the United States.
  • Relatively high costs associated with research and development.
  • Dependency on third-party vendors for certain components of its solutions.
  • Potential vulnerability to cybersecurity threats.

ADP can leverage several opportunities to drive growth and expand its market presence. These include:

  • Increasing demand for cloud-based HR and payroll solutions.
  • Expansion into emerging markets with untapped potential.
  • Growing adoption of data analytics and AI technologies in HR management.
  • Strategic partnerships and acquisitions to enhance product offerings.
  • Expansion of its service offerings to cater to changing customer needs.

ADP faces certain threats that could negatively impact its business operations. These threats include:

  • Intense competition from both established players and emerging startups.
  • Increasing regulatory requirements and compliance costs.
  • Economic downturns affecting client spending and demand for services.
  • Risk of data breaches and privacy concerns.
  • Disruption from technological advancements and changing market trends.

Opportunities

ADP can leverage several opportunities to drive growth and expand its market presence. These include:

  • Increasing demand for cloud-based HR and payroll solutions.
  • Expansion into emerging markets with untapped potential.
  • Growing adoption of data analytics and AI technologies in HR management.
  • Strategic partnerships and acquisitions to enhance product offerings.
  • Expansion of its service offerings to cater to changing customer needs.

ADP faces certain threats that could negatively impact its business operations. These threats include:

  • Intense competition from both established players and emerging startups.
  • Increasing regulatory requirements and compliance costs.
  • Economic downturns affecting client spending and demand for services.
  • Risk of data breaches and privacy concerns.
  • Disruption from technological advancements and changing market trends.

Threats

ADP faces certain threats that could negatively impact its business operations. These threats include:

  • Intense competition from both established players and emerging startups.
  • Increasing regulatory requirements and compliance costs.
  • Economic downturns affecting client spending and demand for services.
  • Risk of data breaches and privacy concerns.
  • Disruption from technological advancements and changing market trends.

Automatic Data Processing Segments

Automatic Data Processing Revenue by Segment (1/4)

  • 3 Years

  • Max

Revenues, other than interest on funds held for clients and PEO revenues
PEO Revenues
Interest on funds held for clients
Details
Date
Revenues, other than interest on funds held for clients and PEO revenues
PEO Revenues
Interest on funds held for clients
Jan 1, 2011
0 USD
0 USD
0 USD
Jan 1, 2013
0 USD
0 USD
0 USD
Jan 1, 2014
0 USD
0 USD
0 USD
Jan 1, 2015
0 USD
0 USD
0 USD
Jan 1, 2016
0 USD
0 USD
0 USD
Jan 1, 2017
0 USD
0 USD
0 USD
Jan 1, 2018
0 USD
0 USD
0 USD
Jan 1, 2019
0 USD
0 USD
0 USD
Jan 1, 2020
0 USD
0 USD
0 USD
Jan 1, 2021
9.77 B USD
4.81 B USD
422.4 M USD
Jan 1, 2022
10.51 B USD
5.54 B USD
451.8 M USD
Jan 1, 2023
11.22 B USD
5.98 B USD
813.4 M USD

Automatic Data Processing Revenue by Segment (2/4)

  • 3 Years

  • 5 Years

  • Max

HCM
PEO
PEO zero-margin benefits pass-throughs
HRO, excluding PEO zero-margin benefits pass-throughs
Global
HRO
Interest on funds held for clients
client fund interest
Details
Date
HCM
PEO
PEO zero-margin benefits pass-throughs
HRO, excluding PEO zero-margin benefits pass-throughs
Global
HRO
Interest on funds held for clients
client fund interest
Jan 1, 2011
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
Jan 1, 2013
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
Jan 1, 2014
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
Jan 1, 2015
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
Jan 1, 2016
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
Jan 1, 2017
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
Jan 1, 2018
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
Jan 1, 2019
-5.7 M USD
0 USD
0 USD
0 USD
0 USD
-4.6 M USD
0 USD
0 USD
Jan 1, 2020
6.54 B USD
2.91 B USD
0 USD
0 USD
2.05 B USD
2.54 B USD
0 USD
545.2 M USD
Jan 1, 2021
6.63 B USD
0 USD
3.09 B USD
2.69 B USD
2.17 B USD
0 USD
422.4 M USD
0 USD
Jan 1, 2022
7.17 B USD
0 USD
3.51 B USD
3.12 B USD
2.24 B USD
0 USD
451.8 M USD
0 USD
Jan 1, 2023
7.72 B USD
0 USD
3.8 B USD
3.39 B USD
2.3 B USD
0 USD
813.4 M USD
0 USD

Automatic Data Processing Revenue by Segment (3/4)

  • 3 Years

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  • 10 Years

  • Max

Employer Services
Employer Services Segment
PEO
Professional Employee Organization Services Segment
PEO Services
Dealer Services
Foreign Exchange
Other
Other Segments
Client Fund Interest
Cost Of Capital Charge
Details
Date
Employer Services
Employer Services Segment
PEO
Professional Employee Organization Services Segment
PEO Services
Dealer Services
Foreign Exchange Reconciling Item
Foreign Exchange
Other Reportable Segment
Other
Other Segments
Client Fund Interest
Cost Of Capital Charge
Client Fund Interest Reconciling Item
Jan 1, 2011
0 USD
0 USD
0 USD
1.54 B USD
0 USD
0 USD
179.5 M USD
0 USD
12.9 M USD
0 USD
0 USD
0 USD
0 USD
-212.9 M USD
Jan 1, 2013
7.91 B USD
0 USD
0 USD
0 USD
1.97 B USD
1.81 B USD
0 USD
39.9 M USD
0 USD
1.7 M USD
0 USD
-432.4 M USD
0 USD
0 USD
Jan 1, 2014
8.54 B USD
0 USD
0 USD
0 USD
2.27 B USD
1.95 B USD
0 USD
0 USD
0 USD
-900,000 USD
0 USD
0 USD
0 USD
0 USD
Jan 1, 2015
8.9 B USD
0 USD
0 USD
0 USD
2.65 B USD
0 USD
0 USD
0 USD
0 USD
-12.4 M USD
0 USD
0 USD
0 USD
0 USD
Jan 1, 2016
9.21 B USD
0 USD
0 USD
0 USD
3.07 B USD
0 USD
0 USD
0 USD
0 USD
1.9 M USD
0 USD
0 USD
0 USD
0 USD
Jan 1, 2017
9.54 B USD
0 USD
0 USD
0 USD
3.48 B USD
0 USD
0 USD
0 USD
0 USD
0 USD
-10.6 M USD
0 USD
0 USD
0 USD
Jan 1, 2018
10.06 B USD
0 USD
0 USD
0 USD
3.9 B USD
0 USD
0 USD
0 USD
0 USD
-9.4 M USD
0 USD
0 USD
0 USD
0 USD
Jan 1, 2019
0 USD
9.94 B USD
0 USD
4.24 B USD
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
-10.3 M USD
0 USD
0 USD
0 USD
Jan 1, 2020
0 USD
10.09 B USD
0 USD
4.51 B USD
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
-8.3 M USD
0 USD
0 USD
0 USD
Jan 1, 2021
10.2 B USD
0 USD
4.82 B USD
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
-8.1 M USD
0 USD
0 USD
0 USD
0 USD
Jan 1, 2022
10.97 B USD
0 USD
5.55 B USD
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
-15.1 M USD
0 USD
0 USD
0 USD
0 USD
Jan 1, 2023
12.04 B USD
0 USD
5.98 B USD
0 USD
0 USD
0 USD
0 USD
0 USD
0 USD
-14.6 M USD
0 USD
0 USD
0 USD
0 USD

Automatic Data Processing Revenue by Segment (4/4)

  • 3 Years

  • 5 Years

  • 10 Years

  • Max

Details
Date
Employer Services Segment
Dealer Services Segment
Jan 1, 2011
6.86 B USD
1.49 B USD
Jan 1, 2013
0 USD
0 USD
Jan 1, 2014
0 USD
0 USD
Jan 1, 2015
0 USD
0 USD
Jan 1, 2016
0 USD
0 USD
Jan 1, 2017
0 USD
0 USD
Jan 1, 2018
0 USD
0 USD
Jan 1, 2019
0 USD
0 USD
Jan 1, 2020
0 USD
0 USD
Jan 1, 2021
0 USD
0 USD
Jan 1, 2022
0 USD
0 USD
Jan 1, 2023
0 USD
0 USD

Automatic Data Processing Revenue by Region

  • 3 Years

  • 5 Years

  • 10 Years

  • Max

United States
Europe
Canada
Other Geographical Places
Other Countries
Details
Date
United States
Europe
Canada
Other Geographical Places
Other Countries
Jan 1, 2011
7.93 B USD
1.19 B USD
428.2 M USD
0 USD
330.4 M USD
Jan 1, 2013
9.11 B USD
1.28 B USD
464.9 M USD
451.2 M USD
0 USD
Jan 1, 2014
9.89 B USD
1.39 B USD
437.9 M USD
491.3 M USD
0 USD
Jan 1, 2015
9.1 B USD
1.09 B USD
320.8 M USD
429.3 M USD
0 USD
Jan 1, 2016
9.87 B USD
1.06 B USD
284.1 M USD
450 M USD
0 USD
Jan 1, 2017
10.54 B USD
1.09 B USD
291.1 M USD
0 USD
465.3 M USD
Jan 1, 2018
11.49 B USD
1.25 B USD
322.1 M USD
0 USD
271.4 M USD
Jan 1, 2024
16.93 B USD
1.45 B USD
473.7 M USD
0 USD
343.3 M USD

Automatic Data Processing Eulerpool Fair Value

Automatic Data Processing historical P/E ratio, EBIT multiple, and P/S ratio

Automatic Data Processing annual returns

Details

Annual Return

ⓘ

What This Chart Shows

This chart breaks down 's total annual return into two components: price return (gains or losses from stock price movement) and dividend return (income received from dividend payments). Together, they represent the total return an investor would have earned in each calendar year.

Price Return

Price return measures the percentage change in 's stock price from January 1st to December 31st of each year. Positive bars indicate the stock appreciated; negative bars show a decline. This is the component most investors focus on, but it tells only part of the story — especially for dividend-paying stocks.

Dividend Return

Dividend return represents the income generated from dividends paid during the year, expressed as a percentage of the starting stock price. While it may seem small in any single year (typically 1–4 % for established companies), dividends compound significantly over decades and have historically contributed roughly 40 % of total stock market returns.

What to Look For

Examine how many years showed positive vs. negative returns to gauge consistency. A stock with mostly positive years and small drawdowns suggests lower risk. Also compare 's annual returns to a benchmark index — consistently outperforming the market is a hallmark of a strong investment. Pay attention to the worst years: understanding downside risk is just as important as chasing upside potential.

Automatic Data Processing shares outstanding

The number of shares was Automatic Data Processing in 2025 — This indicates how many shares 408.7 M is divided into. Since shareholders are the owners of a company, each share represents a small portion of the company's ownership.

  • 3 Years

  • 5 Years

  • 10 Years

  • 25 Years

  • Max

Number of stocks
Details
Date
Number of stocks
Jan 1, 2006
580.3 M base_Shares
Jan 1, 2007
557.9 M base_Shares
Jan 1, 2008
527.2 M base_Shares
Jan 1, 2009
505.8 M base_Shares
Jan 1, 2010
503.7 M base_Shares
Jan 1, 2011
498.3 M base_Shares
Jan 1, 2012
492.2 M base_Shares
Jan 1, 2013
487.1 M base_Shares
Jan 1, 2014
483.1 M base_Shares
Jan 1, 2015
475.8 M base_Shares
Jan 1, 2016
459.1 M base_Shares
Jan 1, 2017
450.3 M base_Shares
Jan 1, 2018
443.3 M base_Shares
Jan 1, 2019
437.6 M base_Shares
Jan 1, 2020
432.7 M base_Shares

Automatic Data Processing Dividend History

38 years of dividend payments · 26 consecutive increases

YearAnnual DividendYoY ChangePayments
20261.7USDYTD—1×
Mar 13, 20261.7USD 0.0%1/1
20256.32USD↑ 10.1%4×
Mar 14, 20251.54USD 0.0%1/4
Jun 13, 20251.54USD 0.0%2/4
Sep 12, 20251.54USD 0.0%3/4
Dec 12, 20251.7USD↑ 10.4%4/4
20245.74USD↑ 11.5%4×
20235.15USD↑ 17.8%4×
20224.37USD↑ 14.1%4×
20213.83USD↑ 4.6%4×
20203.66USD↑ 11.6%4×
20193.28USD↑ 17.1%4×
20182.8USD↑ 19.7%4×
20172.34USD↑ 8.3%4×

Automatic Data Processing dividend history and estimates

In 2025, Automatic Data Processing paid a dividend amounting to 6.32 USD. Dividend means that Automatic Data Processing distributes a portion of its profits to its owners.

  • 3 Years

  • 5 Years

  • 10 Years

  • 25 Years

  • Max

Dividend
Dividend (Estimate)
Details
Date
Dividend
Dividend (Estimate)
Jan 1, 2006
0.78 USD
0 USD
Jan 1, 2007
0.98 USD
0 USD
Jan 1, 2008
1.2 USD
0 USD
Jan 1, 2009
1.33 USD
0 USD
Jan 1, 2010
1.38 USD
0 USD
Jan 1, 2011
1.48 USD
0 USD
Jan 1, 2012
1.62 USD
0 USD
Jan 1, 2013
1.79 USD
0 USD
Jan 1, 2014
1.93 USD
0 USD
Jan 1, 2015
2 USD
0 USD
Jan 1, 2016
2.16 USD
0 USD
Jan 1, 2017
2.34 USD
0 USD
Jan 1, 2018
2.8 USD
0 USD
Jan 1, 2019
3.28 USD
0 USD
Jan 1, 2020
3.66 USD
0 USD

Automatic Data Processing dividend payout ratio

In 2025, Automatic Data Processing had a payout ratio of 62.88%. The payout ratio indicates the percentage of the company's profits that Automatic Data Processing distributes as dividends.

  • 3 Years

  • 5 Years

  • 10 Years

  • 25 Years

  • Max

Payout ratio
Details
Date
Payout ratio
Jan 1, 2006
29.4 %
Jan 1, 2007
48.04 %
Jan 1, 2008
51.28 %
Jan 1, 2009
50.76 %
Jan 1, 2010
57.5 %
Jan 1, 2011
59 %
Jan 1, 2012
57.45 %
Jan 1, 2013
61.98 %
Jan 1, 2014
61.66 %
Jan 1, 2015
65.57 %
Jan 1, 2016
66.46 %
Jan 1, 2017
58.94 %
Jan 1, 2018
65.88 %
Jan 1, 2019
62.6 %
Jan 1, 2020
64.32 %
Price targets and forecasts for Automatic Data Processing are not yet available.

Automatic Data Processing Earnings Calls

2024
2023

Automatic Data Processing Earnings Estimates

Automatic Data Processing Earnings Estimates

DateEPS estimateRevenue EstimateQuarterly report
4/29/20263.33USD5.91 BUSD2026 Q3
1/28/20262.6USD5.39 BUSD2026 Q2
4/24/20242.83USD5.27 BUSD2024 Q3
1/23/20242.13USD4.71 BUSD2024 Q2
7/25/20231.87USD4.51 BUSD2023 Q4
4/25/20232.5USD4.95 BUSD2023 Q3
1/24/20231.96USD4.44 BUSD2023 Q2
10/26/20221.81USD4.22 BUSD2023 Q1
7/27/20221.48USD4.11 BUSD2022 Q4
4/27/20222.1USD4.52 BUSD2022 Q3
...

EESG©

Eulerpool ESG Scorecard© for the Automatic Data Processing stock

75/100
58
Environment
99
Social
67
Governance
E

Environment

20
Scope 1 - Direct Emissions21,760
Scope 2 - Indirect emissions from purchased energy76,092
Scope 3 - Indirect emissions within the value chain38,540
Total CO₂ emissions97,852
CO₂ reduction strategy
Coal energy
Nuclear power
Animal experiments
Fur & Leather—
Pesticides—
Palm Oil—
Tobacco
Genetically modified organisms
Climate concept—
Sustainable forestry—
Recycling regulations
Environmentally friendly packaging
Hazardous substances
Fuel consumption and efficiency
Water consumption and efficiency
S

Social

20
Percentage of female employees53
Percentage of women in management—
Percentage of Asian employees9.1
Share of Asian management8.9
Percentage of Hispanic/Latino employees17.5
Hispano/Latino Management share13.4
Percentage of Black employees12.4
Black Management Share7.6
Percentage of white employees53.3
White Management Share63.6
Adult content
Alcohol
Weapons—
Firearms
Gambling
Military contracts
Human rights concept
Privacy concept—
Occupational health and safety
Catholic
G

Governance (Corporate Governance)

4
Environmental reporting
Stakeholder Engagement
Call Back Policies
Antitrust law

The Eulerpool ESG Scorecard© is the strictly copyrighted intellectual property of Eulerpool Research Systems. Any unauthorized use, imitation, or infringement will be actively pursued and may lead to significant legal consequences. For licenses, collaborations, or usage rights, please contact us directly via our contact form. Contact Form to us.

Automatic Data Processing shareholder structure

% Name
10.12689%
The Vanguard Group, Inc.
The Vanguard Group, Inc.
5.48277%
BlackRock Institutional Trust Company, N.A.
BlackRock Institutional Trust Company, N.A.
4.63441%
State Street Investment Management (US)
State Street Investment Management (US)
2.83254%
Geode Capital Management, L.L.C.
Geode Capital Management, L.L.C.
2.15578%
Invesco Capital Management (QQQ Trust)
Invesco Capital Management (QQQ Trust)
2.05373%
Capital Research Global Investors
Capital Research Global Investors
1.80438%
Wellington Management Company, LLP
Wellington Management Company, LLP
1.60565%
Wells Fargo Advisors
Wells Fargo Advisors
1.46441%
AllianceBernstein L.P.
AllianceBernstein L.P.
1.11981%
BlackRock Asset Management Ireland Limited
BlackRock Asset Management Ireland Limited
...

Automatic Data Processing Executives and Management Board

MB

Ms. Maria Black

(51)

President, Chief Executive Officer, Director · since 2014

Compensation19.14 M USD
MB

Mr. Michael Bonarti

(59)

Chief Administrative Officer

Compensation5.72 M USD
JD

Mr. Joseph DeSilva

(50)

Executive Vice President, North America and Chief of Operations

Compensation5.31 M USD
SK

Mr. Sreeni Kutam

(55)

President - Global Product and Innovation

Compensation5.02 M USD
TL

Mr. Thomas Lynch

(70)

Independent Chairman of the Board

Compensation580,000 USD

Automatic Data Processing Supply Chain

Frequently asked questions about Automatic Data Processing

The business model of Automatic Data Processing Inc (ADP) is centered around providing human resources management software and services. ADP offers a range of solutions such as payroll processing, talent management, time and attendance tracking, and benefits administration. Their software platforms and cloud-based solutions help businesses streamline their HR processes, improve workforce management, and enhance efficiency. ADP caters to clients from various industries and sizes, offering scalable solutions tailored to their specific needs. With its extensive experience and technological innovations, ADP has become a trusted partner for organizations seeking comprehensive HR management solutions.

All fundamentals and in-depth analysis of Automatic Data Processing

Our stock analysis for Automatic Data Processing Revenue stock includes important financial indicators such as revenue, profit, P/E ratio, P/S ratio, EBIT, as well as information on dividends. We also assess aspects such as stocks, market capitalization, debt, equity, and liabilities of Automatic Data Processing Revenue. If you are looking for more detailed information on these topics, we offer comprehensive analyses on our subpages.

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