Automatic Data Processing Stock Analysis

ADP Stock  USD 209.11  0.59  0.28%   
This chart illustrates the adjusted historical pricing of Automatic Data Processing dating back to March 17, 1980, benchmarked against key global economic downturns. The current trading price of Automatic Data stock is $209.11, recorded on March 17th, with intraday movement spanning $208.52 to $209.11.
 200 Day MA
275.1969
 50 Day MA
235.3354
 Beta
0.854
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Interest Hikes
Automatic Data Processing appears fairly valued based on a Real Value estimate of $215.46 and a Target Price of $272.0. This stock analysis focuses on estimating intrinsic value. The estimate provides a valuation baseline beyond day-to-day price moves. Coverage is split between fundamental metrics and technical price analysis. This pairing links intrinsic-value inputs with observed market behavior.
Automatic Data Processing holds a debt-to-equity ratio of 1.395. At present, Interest-Bearing Debt Per Share is showing a falling trajectory relative to prior years. Last year’s filings placed Interest-Bearing Debt Per Share at 21.05. As of 03/17/2026, Debt To Assets is forecasted to advance to 0.21 this year, whereas Long Term Debt Total is moving lower toward slightly above 2.1 B. Higher debt levels can expand Automatic Data's financial risk exposure. Interest payments can affect earnings and coverage ratios over time.

Asset vs Debt

Equity vs Debt

Financial indicators imply that PB Ratio is moving in a growing direction. The previous fiscal year placed PB Ratio at 18.26. As of 03/17/2026, EV To Sales is forecasted to advance to 6.03 this year, whereas Stock Based Compensation To Revenue is moving lower toward 0.01.
 Price Book
13.133
 Enterprise Value Ebitda
13.1287
 Price Sales
3.9867
 Shares Float
401.8 M
 Dividend Share
6.32
Automatic Data Processing (ADP) recorded an increase of $211.1 million in Net Income, $4.1 billion in Net Income, and $4.1 billion in Net Income Applicable To Common Shares.
For additional insight, see Gross Profit and Total Revenue.

Stock Analysis Notes

About 87.0% of the company shares are held by institutions such as insurance companies. The company has Price/Earnings To Growth (PEG) ratio of 2.69. Automatic Data Processing recorded earnings per share (EPS) of 10.41. The company had its last dividend issued on the 13th of March 2026. The firm completed a 1139:1000 stock split on 1st of October 2014. Automatic Data Processing (ADP) recorded $53.4 billion in Total Assets, a Return On Assets of 8.1%, and a Return On Tangible Assets of 9.7%.

Pretax Profit Margin

0.26
The latest reporting period places Pretax Profit Margin at 0.16, reflecting year-over-year movement of 43.75%. Year-ago financials show Automatic Data with Pretax Profit Margin of 0.23.

Investor Insights and Alerts

Automatic Data generated a negative expected return over the last 90 days
Automatic Data Processing has $9.07 B in debt with debt to equity (D/E) ratio of 1.4, which is consistent with its industry peers. Automatic Data Processing has a current ratio of 0.95, suggesting that it has not enough short term capital to pay financial commitments when the payables are due. Nevertheless, prudent borrowing could serve as an effective mechanism for Automatic to finance growth opportunities yielding strong returns.
Over 87.0% of the company shares are held by institutions such as insurance companies
Latest headline from thelincolnianonline.com: Brevan Howard Capital Management LP Increases Position in Automatic Data Processing, Inc. ADP

Largest EPS Surprises

On Automatic Data, EPS surprise size and direction can reshape short-term return distribution. Consensus estimates aggregate analyst revisions and guidance updates. For this stock, read EPS surprises with profitability quality and forward revisions.
Reported
Fiscal Date
Estimated EPS
Reported EPS
Surprise
2003-10-17
2003-09-300.290.320.0310 
2009-11-04
2009-09-300.50.560.0612 
2018-01-31
2017-12-310.90.990.0910 
View All Earnings Estimates

Environmental, Social, and Governance (ESG) Scores

Reviewing Automatic Data's ESG trend can help investors understand whether governance quality and stakeholder risk are improving, deteriorating, or staying broadly unchanged. These scores become more relevant when they are compared against peers facing similar regulatory, labor, and supply-chain pressures.

Thematic Classifications

Thematic classifications around Automatic Data Processing help investors move from one security idea to a broader portfolio idea with a clearer economic narrative. This creates a better bridge between security selection, portfolio construction, and risk-adjusted return targeting.

Top Institutional Investors Holding Automatic Stock

Automatic Data Processing has 86.53% institutional ownership and a 0.15% insider stake. Annual revenue is about 20.56 Billion. That ownership mix shapes how the stock trades around earnings and sector rotation. The business currently sits in the Industrials sector and the Commercial & Professional Services industry. At that level of institutional ownership, fund flows and rebalancing cycles drive most of the float.
Shares
Bank Of America Corp2025-09-30
5.8 M
Jpmorgan Chase & Co2025-09-30
5.8 M
Amvescap Plc.2025-09-30
4.8 M
Ameriprise Financial Inc2025-09-30
4.3 M
Fundsmith Llp2025-12-31
4.2 M
The Goldman Sachs Group Inc2025-09-30
4.1 M
State Farm Mutual Automobile Ins Co2025-12-31
3.7 M
Cardano2025-12-31
3.6 M
Ubs Asset Mgmt Americas Inc2025-09-30
3.3 M
Vanguard Group Inc2025-12-31
41.6 M
Blackrock Inc2025-09-30
36.2 M
For a large-cap like Automatic Data Processing (84.57 Billion), benchmark pressure and redemption cycles can limit how institutional weight turns into price support. Annual revenue is about 20.56 Billion. The Automatic Data Processing large-cap ownership profile should be weighed against balance-sheet strength and earnings trends before drawing conclusions.

Market Capitalization

Automatic Data Processing carries a large-cap market capitalization of 84.57 B when compared with human resource & employment services. Other size-related inputs worth noting are about 402.64 M shares outstanding, enterprise value near 85.81 B, and a workforce of about 67,000 people.

Profitability

Profitability metrics help investors test whether Automatic Data Processing is merely reporting accounting profits or actually building a business model that can sustain margins and cash generation over time. Annual revenue is about 20.56 Billion. Investors should compare gross, operating, and net margins rather than relying on one headline figure.
The company has Net Profit Margin of 20.0 %, which may reflect a scalable business model with improving unit economics. This is above the expected range for the sector. In the same way, it shows Net Operating Margin of 26.0 %, which means that operating costs leave $26.0 on every $100 of revenue.
Last ReportedProjected for Next Year
Return On Tangible Assets 0.10 0.10
Return On Capital Employed 0.40 0.42
Return On Assets 0.09 0.08
Return On Equity 0.59 0.62

Management Efficiency

The company has Return on Asset of 4.71 % which means that on every $100 spent on assets, it made $4.71 of profit. This is representative of the industry norm. In the same way, it shows a return on shareholders' equity (ROE) of 73.84 %, which means that for every $100 of equity, $73.84 was returned as profit.
Last ReportedProjected for Next Year
Book Value Per Share 13.68 14.36
Tangible Book Value Per Share 2.90 2.73
Enterprise Value Over EBITDA 18.93 9.84
Price Book Value Ratio 18.26 19.17
Enterprise Value Multiple 18.93 9.84
Price Fair Value 18.26 19.17
Enterprise Value118.1 B124 B
A leadership review of Automatic Data Processing should test whether management is creating repeatable operating progress instead of relying on one-time gains or favorable cycle conditions. The strongest reading comes from linking leadership decisions to return metrics, balance-sheet quality, and the durability of the business model.
 Operating Margin
0.2628
 Long Term Debt Total
2.1 B
 Three Month Return
-20.24
 Short Long Term Debt Total
10.9 B
 Ten Year Return
138.54666

Technical Drivers

As of the 17th of March 2026, the last recorded price for Automatic Data is 209.11 per share. Primary technical drivers reflect Mean Deviation of 1.29, risk adjusted performance of -0.13, and Standard Deviation of 1.65. Quantitative analysis incorporates volatility metrics and price behavior to assess directional bias. Metrics are compared to industry averages to assess relative positioning.

Automatic Data Processing Price Movement Analysis

Execute Study
This analysis covers twenty-eight data points across the selected time horizon. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Automatic Data middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Automatic Data Processing. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.

Insider Trading Activities

Insider activity around Automatic Data Processing deserves attention because officers, directors, and large shareholders usually see shifts in operating momentum before the market fully prices them. The goal is to separate routine compensation-related sales from conviction-driven buying or defensive trimming while the broader market is still processing new information.

Outstanding Bonds

Automatic Data Processing may use bonds as part of its capital structure to fund operations, refinance liabilities, or support acquisitions and other long-duration investments. Maturity profile, refinancing windows, and coupon burden can all affect how resilient the capital structure looks in a weaker market.

Predictive Daily Indicators

Short-horizon indicators in Automatic Data Processing are useful because they translate fast-changing price behavior into clearer risk and execution cues. For most traders, the advantage is faster feedback on market participation and momentum, which can sharpen both entries and exits.

Corporate Filings

F4
18th of February 2026
The report filed by a party regarding the acquisition or disposition of a company's common stock, as well as derivative securities such as options, warrants, and convertible securities
ViewVerify
F4
9th of February 2026
The report filed by a party regarding the acquisition or disposition of a company's common stock, as well as derivative securities such as options, warrants, and convertible securities
ViewVerify
F4
3rd of February 2026
The report filed by a party regarding the acquisition or disposition of a company's common stock, as well as derivative securities such as options, warrants, and convertible securities
ViewVerify
10Q
29th of January 2026
Quarterly performance report mandated by Securities and Exchange Commission (SEC), to be filed by publicly traded corporations
ViewVerify
8K
28th of January 2026
Report filed with the SEC to announce major events that shareholders should know about
ViewVerify
F4
14th of January 2026
The report filed by a party regarding the acquisition or disposition of a company's common stock, as well as derivative securities such as options, warrants, and convertible securities
ViewVerify
F4
8th of January 2026
The report filed by a party regarding the acquisition or disposition of a company's common stock, as well as derivative securities such as options, warrants, and convertible securities
ViewVerify
F4
6th of January 2026
The report filed by a party regarding the acquisition or disposition of a company's common stock, as well as derivative securities such as options, warrants, and convertible securities
ViewVerify

Forecast Models

Forecast models applied to Automatic Data Processing are designed to learn from historical price structure, volatility clustering, and trend persistence rather than from management commentary alone. These models are descriptive, not prophetic, so the real discipline comes from checking whether the market regime has changed enough to make the old pattern less reliable.

Financial Strength and Earnings Quality Indicators

Automatic Data Processing financial ratings play a critical role in determining how much Automatic Data have to pay to access credit markets, i.e., the amount of interest on their issued debt. The threshold between investment-grade and speculative-grade ratings has important market implications for Automatic Data's borrowing costs.
Piotroski F Score
5
HealthyView
Beneish M Score
-2.36
Unlikely ManipulatorView

Debt to Cash Allocation

Automatic Data Processing has $9.07 B in debt with debt to equity (D/E) ratio of 1.4, which is consistent with its industry peers. Automatic Data Processing has a current ratio of 0.95, suggesting that it has not enough short term capital to pay financial commitments when the payables are due. Nevertheless, prudent borrowing could serve as an effective mechanism for Automatic to finance growth opportunities yielding strong returns.

Total Assets Over Time

Assets Financed by Debt

The debt-to-assets ratio shows the degree to which Automatic Data uses debt to finance its assets. It includes both long-term and short-term borrowings maturing within one year. It also includes both tangible and intangible assets, such as goodwill.
Automatic Data Debt Ratio
    
  21.0   
It seems most of the Automatic Data's assets are financed through equity. Typically, companies with high debt-to-asset ratios are said to be highly leveraged. The higher the ratio, the greater risk will be associated with the Automatic Data's operation. In addition, a high debt-to-assets ratio may indicate a low borrowing capacity of Automatic Data, which in turn will lower the firm's financial flexibility.

Corporate Bonds Issued

Automatic Short Long Term Debt Total

Short Long Term Debt Total

10.95 Billion
Year-over-year analysis suggests Short and Long Term Debt Total is positioned to increase significantly. Year-ago financials show Automatic Data with Short and Long Term Debt Total of 10.43 Billion.

Stock Analysis Methodology

The diagnostic framework for Automatic Data evaluates financial stability, profitability trends, and market-derived risk indicators. Automatic Data trades at P/E of 35.6, P/B of 13.13, P/S of 3.99. Profitability metrics show ROE of 73.84%, net margin of 19.96%, operating margin of 26.28%. Balance sheet indicators include debt-to-equity of 1.4 and current ratio of 0.97. Financial distress probability is estimated at 3%, indicating low near-term solvency risk. Beta of 0.7081 suggests moderate market correlation. A negative Sharpe ratio of -0.2191 indicates returns below the risk-free rate over the measurement period.

For Automatic Data Processing, this section uses periodic company reporting and market reference feeds with Macroaxis normalization rules applied to keep cross-asset comparisons consistent. Professional analyst research is incorporated when coverage is available. Intraday timing differences may exist.

This content is curated and reviewed by:

Ellen Johnson - Member of Macroaxis Editorial Board
Last reviewed on February 22nd, 2026

Current Automatic Analyst Rating Consensus

Target PriceConsensus# of Analysts
272.0Buy18Odds
Automatic Data Processing current and past analyst recommendations are summarized from multiple research sources. Consensus averages are included alongside the recommendation view. Analyst ratings for Automatic Data Processing aggregate the views of institutional research teams who conduct deep fundamental analysis, build financial models, and speak directly with Automatic's management. Consensus upgrades or downgrades often have meaningful short-term impact on the stock price.
Automatic Analyst Advice Details

Automatic Stock Analysis Indicators

Diagnostics snapshot includes 19 indicators such as Begin Period Cash Flow, Long Term Debt, Common Stock Shares Outstanding.
Begin Period Cash Flow10.1 B
Long Term DebtB
Common Stock Shares Outstanding408.7 M
Total Stockholder Equity6.2 B
Total Cashflows From Investing Activities-3 B
Tax Provision1.2 B
Quarterly Earnings Growth Y O Y0.115
Property Plant And Equipment NetB
Cash And Short Term Investments7.8 B
Cash3.3 B
Accounts Payable169.1 M
Net Debt5.7 B
50 Day M A235.3354
Total Current Liabilities41.3 B
Other Operating Expenses15.1 B
Non Current Assets Total10.1 B
Forward Price Earnings17.5747
Non Currrent Assets Other4.2 B
Stock Based Compensation266.1 M

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