Automatic Data Processing Stock Price History
| ADP Stock | USD 265.47 3.30 1.26% |
Below is the normalized historical share price chart for Automatic Data Processing extending back to March 17, 1980. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Automatic Data stands at 265.47, as last reported on the 18th of December 2025, with the highest price reaching 266.42 and the lowest price hitting 261.00 during the day.
If you're considering investing in Automatic Stock, it is important to understand the factors that can impact its price. Automatic Data Processing secures Sharpe Ratio (or Efficiency) of -0.11, which signifies that the company had a -0.11 % return per unit of risk over the last 3 months. Automatic Data Processing exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Automatic Data's Mean Deviation of 0.7731, risk adjusted performance of (0.08), and Standard Deviation of 1.19 to double-check the risk estimate we provide.
At this time, Automatic Data's Common Stock Shares Outstanding is relatively stable compared to the past year. As of 12/18/2025, Liabilities And Stockholders Equity is likely to grow to about 56 B, while Common Stock Total Equity is likely to drop slightly above 70.2 M. . At this time, Automatic Data's Price To Sales Ratio is relatively stable compared to the past year. As of 12/18/2025, Price Book Value Ratio is likely to grow to 21.30, while Price To Free Cash Flows Ratio is likely to drop 17.66. Automatic Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
IPO Date 6th of April 1983 | 200 Day MA 294.0302 | 50 Day MA 266.1464 | Beta 0.86 |
Automatic | Build AI portfolio with Automatic Stock |
Sharpe Ratio = -0.1089
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| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns | ADP |
Based on monthly moving average Automatic Data is not performing at its full potential. However, if added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Automatic Data by adding Automatic Data to a well-diversified portfolio.
Price Book 16.8124 | Enterprise Value Ebitda 16.9619 | Price Sales 5.0806 | Shares Float 403.6 M | Dividend Share 6.16 |
Automatic Data Stock Price History Chart
There are several ways to analyze Automatic Stock price data. The simplest method is using a basic Automatic candlestick price chart, which shows Automatic Data price history and the buying and selling dynamics of a specified period. Many traders also use subjective judgment to their trading calls, avoiding the need to trade based on technical analysis.
| Highest Price | September 30, 2025 | 291.62 |
| Lowest Price | November 20, 2025 | 247.46 |
Automatic Data December 18, 2025 Stock Price Synopsis
Various analyses of Automatic Data's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Automatic Stock. It can be used to describe the percentage change in the price of Automatic Data from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Automatic Stock.| Automatic Data Price Daily Balance Of Power | 0.61 | |
| Automatic Data Price Action Indicator | 3.41 | |
| Automatic Data Price Rate Of Daily Change | 1.01 | |
| Automatic Data Accumulation Distribution | 51,088 |
Automatic Data December 18, 2025 Stock Price Analysis
Automatic Stock Price History Data
The price series of Automatic Data for the period between Fri, Sep 19, 2025 and Thu, Dec 18, 2025 has a statistical range of 44.31 with a coefficient of variation of 5.89. The prices are distributed with arithmetic mean of 270.07. The median price for the last 90 days is 266.1. The company had 1139:1000 stock split on 1st of October 2014. Automatic Data Processing issued dividends on 2025-12-12.| Open | High | Low | Close | Volume | ||
12/17/2025 | 261.28 | 266.42 | 261.00 | 265.47 | 2,511,248 | |
| 12/16/2025 | 261.81 | 263.80 | 259.57 | 262.17 | 3,130,602 | |
12/15/2025 | 266.33 | 267.85 | 264.57 | 264.95 | 2,948,655 | |
| 12/12/2025 | 264.05 | 266.35 | 263.74 | 266.10 | 1,906,052 | |
| 12/11/2025 | 257.92 | 263.29 | 257.68 | 262.99 | 1,634,400 | |
| 12/10/2025 | 255.71 | 258.38 | 255.18 | 257.67 | 2,449,800 | |
| 12/09/2025 | 257.43 | 259.31 | 256.33 | 256.57 | 1,717,100 | |
12/08/2025 | 259.18 | 259.44 | 255.93 | 257.03 | 2,584,200 | |
| 12/05/2025 | 257.73 | 261.07 | 257.67 | 259.95 | 2,756,600 | |
| 12/04/2025 | 259.78 | 260.62 | 256.69 | 257.73 | 2,594,200 | |
| 12/03/2025 | 254.85 | 258.87 | 254.85 | 258.55 | 2,367,000 | |
12/02/2025 | 255.00 | 256.45 | 252.83 | 255.53 | 3,423,000 | |
12/01/2025 | 252.37 | 256.24 | 251.57 | 254.20 | 2,860,800 | |
11/28/2025 | 253.65 | 254.71 | 252.07 | 253.66 | 975,300 | |
11/26/2025 | 255.33 | 255.75 | 252.43 | 252.70 | 1,711,800 | |
| 11/25/2025 | 249.39 | 258.33 | 249.05 | 254.66 | 2,670,000 | |
11/24/2025 | 251.00 | 251.17 | 246.74 | 248.49 | 3,502,300 | |
| 11/21/2025 | 248.18 | 252.83 | 247.46 | 251.49 | 2,003,200 | |
11/20/2025 | 250.19 | 250.31 | 246.18 | 247.46 | 2,034,400 | |
11/19/2025 | 248.65 | 249.74 | 245.59 | 248.80 | 2,170,500 | |
11/18/2025 | 249.41 | 249.84 | 245.62 | 248.09 | 2,031,600 | |
11/17/2025 | 251.19 | 251.93 | 248.74 | 249.29 | 1,761,300 | |
11/14/2025 | 252.97 | 254.08 | 249.61 | 251.46 | 1,720,000 | |
11/13/2025 | 251.23 | 253.40 | 249.04 | 252.97 | 1,980,600 | |
11/12/2025 | 253.57 | 254.68 | 251.86 | 252.92 | 1,772,100 | |
11/11/2025 | 252.97 | 254.46 | 251.64 | 253.56 | 1,413,500 | |
11/10/2025 | 251.67 | 254.13 | 249.57 | 252.43 | 1,735,600 | |
11/07/2025 | 252.13 | 253.74 | 250.00 | 252.53 | 2,442,100 | |
11/06/2025 | 255.95 | 257.00 | 248.08 | 250.74 | 3,338,300 | |
11/05/2025 | 254.82 | 259.10 | 254.40 | 257.90 | 2,213,000 | |
11/04/2025 | 257.94 | 260.57 | 255.22 | 257.56 | 2,555,000 | |
11/03/2025 | 258.63 | 259.01 | 253.52 | 255.52 | 2,365,600 | |
10/31/2025 | 258.96 | 260.40 | 256.53 | 258.63 | 2,557,700 | |
10/30/2025 | 260.54 | 264.21 | 258.55 | 259.85 | 2,792,400 | |
10/29/2025 | 269.42 | 271.06 | 258.57 | 259.54 | 3,346,300 | |
10/28/2025 | 278.20 | 281.11 | 277.52 | 277.83 | 2,351,300 | |
10/27/2025 | 279.17 | 281.07 | 278.29 | 278.73 | 1,979,800 | |
10/24/2025 | 280.44 | 281.04 | 278.88 | 279.14 | 1,263,200 | |
10/23/2025 | 280.88 | 282.40 | 278.86 | 279.74 | 1,338,200 | |
10/22/2025 | 281.79 | 285.55 | 281.11 | 282.13 | 1,233,700 | |
10/21/2025 | 281.64 | 283.58 | 280.48 | 282.16 | 1,748,200 | |
10/20/2025 | 279.80 | 281.92 | 279.37 | 281.21 | 1,395,700 | |
10/17/2025 | 279.18 | 281.08 | 278.20 | 279.46 | 1,301,100 | |
10/16/2025 | 282.43 | 282.65 | 277.63 | 278.36 | 1,494,300 | |
10/15/2025 | 284.86 | 285.84 | 281.19 | 282.38 | 1,568,300 | |
10/14/2025 | 281.84 | 284.96 | 281.80 | 284.08 | 1,299,500 | |
10/13/2025 | 283.38 | 284.99 | 281.07 | 282.52 | 2,041,600 | |
10/10/2025 | 285.01 | 285.95 | 282.82 | 283.36 | 2,717,700 | |
10/09/2025 | 288.57 | 289.47 | 283.57 | 284.05 | 1,340,800 | |
10/08/2025 | 290.68 | 290.92 | 287.96 | 288.83 | 1,410,100 | |
10/07/2025 | 289.81 | 291.62 | 288.58 | 291.06 | 1,150,200 | |
10/06/2025 | 289.63 | 290.07 | 286.64 | 288.68 | 1,703,700 | |
10/03/2025 | 288.12 | 290.50 | 286.01 | 289.44 | 1,227,700 | |
10/02/2025 | 287.36 | 288.95 | 284.58 | 288.01 | 2,073,800 | |
10/01/2025 | 290.60 | 291.75 | 287.71 | 289.74 | 2,201,000 | |
09/30/2025 | 286.64 | 292.02 | 283.20 | 291.62 | 3,156,400 | |
09/29/2025 | 290.62 | 292.46 | 289.52 | 290.78 | 2,155,200 | |
09/26/2025 | 287.70 | 290.83 | 286.70 | 289.67 | 1,703,900 | |
09/25/2025 | 290.03 | 291.41 | 285.81 | 287.03 | 1,862,800 | |
09/24/2025 | 286.75 | 290.99 | 286.09 | 289.63 | 3,456,600 | |
09/23/2025 | 290.33 | 291.61 | 285.46 | 287.35 | 1,926,200 |
About Automatic Data Stock history
Automatic Data investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Automatic is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Automatic Data Processing will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Automatic Data stock prices may prove useful in developing a viable investing in Automatic Data
| Last Reported | Projected for Next Year | ||
| Common Stock Shares Outstanding | 408.7 M | 429 M | |
| Net Income Applicable To Common Shares | 3.9 B | 4.1 B |
Automatic Data Stock Technical Analysis
Automatic Data technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
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Automatic Data Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Automatic Data's price direction in advance. Along with the technical and fundamental analysis of Automatic Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Automatic to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.26) | |||
| Treynor Ratio | (0.23) |
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.