Automatic Data Processing Stock Performance
| ADP Stock | USD 205.68 0.05 0.02% |
The firm shows a Beta (market volatility) of 0.92, which signifies possible diversification benefits within a given portfolio. Automatic Data returns are very sensitive to returns on the market. As the market goes up or down, Automatic Data is expected to follow. At this point, Automatic Data Processing has a negative expected return of -0.34%. Please make sure to confirm Automatic Data's skewness, as well as the relationship between the rate of daily change and period momentum indicator , to decide if Automatic Data Processing performance from the past will be repeated at some point in the near future.
Risk-Adjusted Performance
Weakest
Weak | Strong |
Over the last 90 days Automatic Data Processing has generated negative risk-adjusted returns adding no value to investors with long positions. Even with weak performance in the last few months, the Stock's fundamental indicators remain relatively invariable which may send shares a bit higher in March 2026. The latest agitation may also be a sign of long-running up-swing for the enterprise retail investors. ...more
Actual Historical Performance (%)
One Day Return (0.02) | Five Day Return (5.31) | Year To Date Return (18.66) | Ten Year Return 141.24 | All Time Return 25.3 K |
Forward Dividend Yield 0.0331 | Payout Ratio | Last Split Factor 1139:1000 | Forward Dividend Rate 6.8 | Dividend Date 2026-04-01 |
1 | Disposition of 162 shares by Sreenivasa Kutam of Automatic Data at 266.1 subject to Rule 16b-3 | 12/19/2025 |
2 | Automatic Data Processing Nasdaq Composite Cloud HCM Platform | 01/23/2026 |
3 | Automatic Data Processing Inc Q2 2026 Earnings Call Highlights Strong Revenue and EPS ... | 01/28/2026 |
4 | Can ADPs New Assist AI Agents Deepen Its Workforce Data Advantage or Dilute Focus | 02/04/2026 |
5 | GUARDCAP ASSET MANAGEMENT Ltd Sells 99,569 Shares of Automatic Data Processing, Inc. ADP | 02/10/2026 |
6 | Canadian Golf Pro Sudarshan Yellamaraju Joins Team ADP | 02/12/2026 |
7 | ADP Award And US6b Buyback Contrast With Recent Sentiment Signals | 02/13/2026 |
8 | ADP National Employment Report Preliminary Estimate for January 31, 2026 | 02/17/2026 |
9 | Reassessing ADP After A 29 percent One-Year Share Price Decline | 02/19/2026 |
10 | ADP National Employment Report Preliminary Estimate for February 7, 2026 | 02/24/2026 |
| Begin Period Cash Flow | 10.1 B | |
| Total Cashflows From Investing Activities | -3 B |
Automatic | Build AI portfolio with Automatic Stock |
Automatic Data Relative Risk vs. Return Landscape
If you would invest 25,366 in Automatic Data Processing on November 27, 2025 and sell it today you would lose (4,798) from holding Automatic Data Processing or give up 18.92% of portfolio value over 90 days. Automatic Data Processing is generating negative expected returns assuming volatility of 1.4589% on return distribution over 90 days investment horizon. In other words, 13% of stocks are less volatile than Automatic, and above 99% of all equities are expected to generate higher returns over the next 90 days. Expected Return |
| Risk |
Automatic Data Target Price Odds to finish over Current Price
The tendency of Automatic Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to move above the current price in 90 days |
| 205.68 | 90 days | 205.68 | close to 99 |
Based on a normal probability distribution, the odds of Automatic Data to move above the current price in 90 days from now is close to 99 (This Automatic Data Processing probability density function shows the probability of Automatic Stock to fall within a particular range of prices over 90 days) .
Automatic Data Price Density |
| Price |
Predictive Modules for Automatic Data
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Automatic Data Processing. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Automatic Data's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Automatic Data Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Automatic Data is not an exception. The market had few large corrections towards the Automatic Data's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Automatic Data Processing, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Automatic Data within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.37 | |
β | Beta against Dow Jones | 0.92 | |
σ | Overall volatility | 17.03 | |
Ir | Information ratio | -0.26 |
Automatic Data Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Automatic Data for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Automatic Data Processing can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| 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 OK given its current industry classification. 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 86.0% of Automatic Data shares are held by institutions such as insurance companies | |
| Latest headline from finance.yahoo.com: ADP National Employment Report Preliminary Estimate for February 7, 2026 |
Automatic Data Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Automatic Stock often depends not only on the future outlook of the current and potential Automatic Data's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Automatic Data's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 408.7 M | |
| Cash And Short Term Investments | 7.8 B |
Automatic Data Fundamentals Growth
Automatic Stock prices reflect investors' perceptions of the future prospects and financial health of Automatic Data, and Automatic Data fundamentals are critical determinants of its market performance. Overall, investors pay close attention to revenue and earnings growth, profit margins, and debt levels. These fundamentals can have a significant impact on Automatic Stock performance.
| Return On Equity | 0.74 | ||||
| Return On Asset | 0.0471 | ||||
| Profit Margin | 0.20 % | ||||
| Operating Margin | 0.26 % | ||||
| Current Valuation | 118.64 B | ||||
| Shares Outstanding | 402.64 M | ||||
| Price To Earning | 35.60 X | ||||
| Price To Book | 18.98 X | ||||
| Price To Sales | 3.92 X | ||||
| Revenue | 20.56 B | ||||
| Gross Profit | 10.26 B | ||||
| EBITDA | 6.24 B | ||||
| Net Income | 4.08 B | ||||
| Cash And Equivalents | 1.23 B | ||||
| Cash Per Share | 2.97 X | ||||
| Total Debt | 9.07 B | ||||
| Debt To Equity | 1.40 % | ||||
| Current Ratio | 0.97 X | ||||
| Book Value Per Share | 15.86 X | ||||
| Cash Flow From Operations | 4.94 B | ||||
| Earnings Per Share | 10.41 X | ||||
| Market Capitalization | 83.19 B | ||||
| Total Asset | 53.37 B | ||||
| Retained Earnings | 25.24 B | ||||
| Working Capital | 1.97 B | ||||
| Current Asset | 3.68 B | ||||
| Current Liabilities | 2 B | ||||
About Automatic Data Performance
Assessing Automatic Data's fundamental ratios provides investors with valuable insights into Automatic Data's financial health and overall profitability. This information is crucial for making informed investment decisions. A high ROA would indicate that the Automatic Data is effectively leveraging its assets and equity to generate significant profits, making it an appealing investment. Conversely, low Return on Assets could signal underlying management issues in assets and equity, indicating a necessity for operational refinements. Please also refer to our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Days Of Inventory On Hand | 20.21 | 19.28 | |
| 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 |
Things to note about Automatic Data Processing performance evaluation
Checking the ongoing alerts about Automatic Data for important developments is a great way to find new opportunities for your next move. Stock alerts and notifications screener for Automatic Data Processing help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.| 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 OK given its current industry classification. 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 86.0% of Automatic Data shares are held by institutions such as insurance companies | |
| Latest headline from finance.yahoo.com: ADP National Employment Report Preliminary Estimate for February 7, 2026 |
- Analyzing Automatic Data's financial statements, including its income statement, balance sheet, and cash flow statement, helps in understanding its overall financial health and growth potential.
- Getting a closer look at valuation ratios like price-to-earnings (P/E) ratio, price-to-sales (P/S) ratio, and price-to-book (P/B) ratio help in understanding whether Automatic Data's stock is overvalued or undervalued compared to its peers.
- Examining Automatic Data's industry or sector and how it is performing can give you an idea of its growth potential and how it is positioned relative to its competitors.
- Evaluating Automatic Data's management team can have a significant impact on its success or failure. Reviewing the track record and experience of Automatic Data's management team can help you assess the Company's leadership.
- Pay attention to analyst opinions and ratings of Automatic Data's stock. These opinions can provide insight into Automatic Data's potential for growth and whether the stock is currently undervalued or overvalued.
Additional Tools for Automatic Stock Analysis
When running Automatic Data's price analysis, check to measure Automatic Data's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Automatic Data is operating at the current time. Most of Automatic Data's value examination focuses on studying past and present price action to predict the probability of Automatic Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Automatic Data's price. Additionally, you may evaluate how the addition of Automatic Data to your portfolios can decrease your overall portfolio volatility.