ADP Increases Cash Dividend Marks 50th Consecutive Year of Dividend Increases
| ADP Stock | USD 325.71 4.62 1.44% |
Slightly above 61% of Automatic Data's investor base is looking to short. The analysis of overall sentiment of trading Automatic Data Processing stock suggests that many investors are alarmed at this time. Automatic Data's investing sentiment overview a quick insight into current market opportunities from investing in Automatic Data Processing. Many technical investors use Automatic Data Processing stock news signals to limit their universe of possible portfolio assets and to time the market correctly.
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The board of directors of ADP approved a 0.14 increase in the quarterly cash dividend to an annual rate of 6.16 per share, Maria Black, ADPs President and Chief Executive Officer, announced today. The increased cash dividend marks the 50th consecutive year in which ADP, a leading global technology company providing human capital management solutions, has raised its quarterly dividend.Our dividend is a cornerstone of our long-standing commitment to our shareholders and thi
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Automatic Data Maximum Pain Price Across August 15th 2025 Option Contracts
Automatic Data's options can also be used to analyze investors' bias and current market sentiment in the context of behavioral finance. For example, Max pain usually refers to a trading concept that asserts that market manipulation can cause the market price of Automatic Data close to the expiration of its current option contract to expire worthlessly. According to most research, about 35% of options are not executed, with roughly 50% traded out before expiration. So, Max pain occurs when market makers reach a net favorable position across all options at a strike price where option holders stand to lose the most money. By contrast, option sellers may reap the most after selling more options than buying, causing them to expire worthlessly. Please continue to view the detailed analysis of Automatic Data's options.
Automatic Data Fundamental Analysis
We analyze Automatic Data's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Automatic Data using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Automatic Data based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Book Value Per Share
Book Value Per Share Comparative Analysis
Automatic Data is currently under evaluation in book value per share category among its peers. Book Value per Share (B/S) can be calculated by subtracting liabilities from assets, and then dividing it by the total number of currently outstanding shares. It indicates the level of safety associated with each common share after removing the effects of liabilities. In other words, a shareholder can use this ratio to see how much he or she can sell the stake in the company in the event of a liquidation.
Automatic Data Processing Potential Pair-trading
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Automatic Data stock to make a market-neutral strategy. Peer analysis of Automatic Data could also be used in its relative valuation, which is a method of valuing Automatic Data by comparing valuation metrics with similar companies.
Peers
Automatic Data Related Equities
| KFRC | Kforce | 3.10 | ||||
| KELYA | Kelly Services | 3.00 | ||||
| BBSI | Barrett Business | 2.12 | ||||
| PAYX | Paychex | 1.85 | ||||
| KFY | Korn Ferry | 1.78 | ||||
| MAN | ManpowerGroup | 1.76 | ||||
| TBI | TrueBlue | 1.41 | ||||
| BZ | Kanzhun | 0.93 | ||||
| RHI | Robert Half | 0.46 | ||||
| TNET | TriNet | 0.78 | ||||
| ZIP | Ziprecruiter | 2.86 |
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.