Disposition of 29432 shares by Carlos Rodriguez of Automatic Data at 138.53 subject to Rule 16b-3
| 0HJI Stock | 304.33 0.93 0.31% |
Slightly above 54% of Automatic Data's investor base is interested to short. The analysis of overall sentiment of trading Automatic Data Processing stock suggests that many investors are impartial at this time. Automatic Data's investing sentiment can be driven by a variety of factors including economic data, Automatic Data's earnings reports, geopolitical events, and overall market trends.
Automatic Data stock news, alerts, and headlines are usually related to its technical, predictive, social, and fundamental indicators. It can reflect on the current distribution of Automatic daily returns and investor perception about the current price of Automatic Data Processing as well as its diversification or hedging effects on your existing portfolios.
Automatic |
Filed transaction by Automatic Data Processing Director. Disposition to the issuer of issuer equity securities pursuant to Rule 16b-3(e)
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Cash Flow Correlation
Automatic Data's cash-flow correlation analysis can be used to evaluate the unsystematic risk during the given period. It also helps investors identify the Automatic Data's relationships between the major components of the statement of changes in financial position and other commonly used cash-related accounts. When such correlations are discovered, they may help managers and analysts to enhance performance or determine appealing investment opportunities.Click cells to compare fundamentals
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.
Cash Flow From Operations
Cash Flow From Operations Comparative Analysis
Automatic Data is number one stock in cash flow from operations category among its peers. Operating Cash Flow reveals the quality of a company's reported earnings and is calculated by deducting company's income taxes from earnings before interest, taxes, and depreciation (EBITDA). In other words, Operating Cash Flow refers to the amount of cash a firm generates from the sales or products or from rendering services. Operating Cash Flow typically excludes costs associated with long-term investments or investment in marketable securities and is usually used by investors or analysts to check on the quality of a company's earnings.
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
| RDT | Rosslyn Data | 6.25 | ||||
| 0E3C | Datalogic | 2.15 | ||||
| 0KS3 | Public Storage | 0.41 | ||||
| 0HJI | Automatic Data | 0.31 | ||||
| DATA | GlobalData PLC | 0.28 | ||||
| 0W19 | Datagroup | 0.23 | ||||
| 0LEE | Teradata Corp | 0.58 | ||||
| 0IJV | Extra Space | 0.72 | ||||
| 0HCR | Alliance Data | 3.24 |
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.