Automatic Data Net Worth
Automatic Data Net Worth Breakdown | ADP |
Automatic Data Net Worth Analysis
Automatic Data's net worth analysis, or its valuation, is the process of determining the total value of the company. This involves assessing a range of factors, including Automatic Data's financial performance, assets, liabilities, and potential for growth. The ultimate goal is to provide a clear understanding of Automatic Data's overall worth, which can help investors make informed investment decisions. There are several methods that can be used to perform Automatic Data's net worth analysis. One common approach is to calculate Automatic Data's market capitalization.Another approach is to use the price-to-earnings ratio (P/E ratio), which compares Automatic Data's stock price to its earnings per share (EPS). Discounted cash flow (DCF) analysis is another popular method for assessing Automatic Data's net worth. This approach calculates the present value of Automatic Data's future cash flows, taking into account factors such as growth rate, profitability, and risk. By comparing the present value of Automatic Data's cash flows to its current stock price, investors can gain a better understanding of the company's overall value. Finally, investors may use comparable company analysis to evaluate Automatic Data's net worth. This involves comparing Automatic Data's financial metrics to similar companies in the same industry. By identifying companies with similar financial characteristics, investors can gain insight into Automatic Data's net worth relative to its peers.
Enterprise Value |
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To determine if Automatic Data is a good investment, evaluating the company's potential for future growth is also very important. This may include expanding into new markets, launching new products or services, or improving operational efficiency. Companies with strong growth prospects can be more attractive investments. This aspect of the research should be conducted in the context of the overall market and industry in which the company operates and should include an analysis of growth potential, competitive landscape, and any regulatory or economic factors that could impact the business. Some of the essential points regarding Automatic Data's net worth research are outlined below:
| Automatic Data Processing has 3.71 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. Note however, debt could still be an excellent tool for Automatic to invest in growth at high rates of return. | |
| Over 84.0% of Automatic Data shares are held by institutions such as insurance companies | |
| Latest headline from thelincolnianonline.com: Townsquare Capital LLC Grows Holdings in Automatic Data Processing, Inc. |
Automatic Data Quarterly Good Will |
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Automatic Data uses earnings reports to provide investors with an update of all three financial statements, including the income statement, the balance sheet, and the cash flow statement. Therefore, it is also crucial when considering investing in Automatic Data Processing. Every quarterly earnings report provides investors with an overview of sales, expenses, and net income for the most recent period. It also may provide a comparison to Automatic Data's previous reporting period. The quarterly earnings reports are usually disseminated to the public via Form 10-Q, which is a legal document filed with the Securities and Exchange Commission every quarter.
| 31st of January 2024 Upcoming Quarterly Report | View | |
| 24th of April 2024 Next Financial Report | View | |
| 31st of December 2023 Next Fiscal Quarter End | View | |
| 24th of July 2024 Next Fiscal Year End | View | |
| 30th of September 2023 Last Quarter Report | View | |
| 30th of June 2023 Last Financial Announcement | View |
Know Automatic Data's Top Institutional Investors
Have you ever been surprised when a price of an equity instrument such as Automatic Data is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Automatic Data Processing backward and forwards among themselves. Automatic Data's institutional investor refers to the entity that pools money to purchase Automatic Data's securities or originate loans. Institutional investors include commercial and private banks, credit unions, insurance companies, pension funds, hedge funds, endowments, and mutual funds. Operating companies that invest excess capital in these types of assets may also be included in the term and may influence corporate governance by exercising voting rights in their investments.
| Shares | Northern Trust Corp | 2024-09-30 | 5.3 M | Capital Research Global Investors | 2024-09-30 | 4.8 M | Ameriprise Financial Inc | 2024-06-30 | 4.1 M | Amvescap Plc. | 2024-06-30 | 4 M | State Farm Mutual Automobile Ins Co | 2024-09-30 | 3.7 M | Legal & General Group Plc | 2024-06-30 | 3.5 M | Ubs Asset Mgmt Americas Inc | 2024-09-30 | 3.2 M | Deutsche Bank Ag | 2024-06-30 | 2.9 M | Ninety One Uk Limited | 2024-09-30 | 2.6 M | Vanguard Group Inc | 2024-09-30 | 40.5 M | Blackrock Inc | 2024-06-30 | 34.1 M |
Follow Automatic Data's market capitalization trends
The company currently falls under 'Mega-Cap' category with a total capitalization of 125.06 B.Market Cap |
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Project Automatic Data's profitablity
| Last Reported | Projected for Next Year | ||
| Return On Tangible Assets | 0.07 | 0.10 | |
| Return On Capital Employed | 0.54 | 0.56 | |
| Return On Assets | 0.07 | 0.08 | |
| Return On Equity | 0.83 | 0.87 |
When accessing Automatic Data's net worth, it's important to look at multiple sources and consider different scenarios. For example, gross profit margin measures Automatic Data's profitability after accounting for the cost of goods sold, while net profit margin measures profitability after accounting for all expenses. Other important metrics include return on assets, return on equity, and free cash flow. By reviewing multiple sources and metrics, you can gain a complete picture of Automatic Data's profitability and make more informed investment decisions.
Evaluate Automatic Data's management efficiency
Automatic Data Processing has Return on Asset of 0.0654 % which means that on every $100 spent on assets, it made $0.0654 of profit. This is way below average. In the same way, it shows a return on shareholders' equity (ROE) of 0.8726 %, implying that it generated $0.8726 on every 100 dollars invested. Automatic Data's management efficiency ratios could be used to measure how well Automatic Data manages its routine affairs as well as how well it operates its assets and liabilities. As of 11/29/2024, Return On Tangible Assets is likely to grow to 0.1. Also, Return On Capital Employed is likely to grow to 0.56. At this time, Automatic Data's Total Current Liabilities is relatively stable compared to the past year. As of 11/29/2024, Liabilities And Stockholders Equity is likely to grow to about 57.1 B, while Non Current Liabilities Other is likely to drop slightly above 926.2 M.| Last Reported | Projected for Next Year | ||
| Book Value Per Share | 11.08 | 6.13 | |
| Tangible Book Value Per Share | 2.09 | 2.61 | |
| Enterprise Value Over EBITDA | 16.82 | 9.73 | |
| Price Book Value Ratio | 21.28 | 22.34 | |
| Enterprise Value Multiple | 16.82 | 9.73 | |
| Price Fair Value | 21.28 | 22.34 | |
| Enterprise Value | 58.1 B | 61 B |
Management at Automatic Data Processing focuses on leveraging technology and optimizing operations. We evaluate the impact of these focuses on the company's financial health and stock performance.
Enterprise Value Revenue 6.8881 | Revenue 19.5 B | Quarterly Revenue Growth 0.071 | Revenue Per Share 47.658 | Return On Equity 0.8726 |
Some recent studies suggest that insider trading raises the cost of capital for securities issuers and decreases overall economic growth. Trading by specific Automatic Data insiders, such as employees or executives, is commonly permitted as long as it does not rely on Automatic Data's material information that is not in the public domain. Local jurisdictions usually require such trading to be reported in order to monitor insider transactions. In many U.S. states, trading conducted by corporate officers, key employees, directors, or significant shareholders must be reported to the regulator or publicly disclosed, usually within a few business days of the trade. In these cases Automatic Data insiders are required to file a Form 4 with the U.S. Securities and Exchange Commission (SEC) when buying or selling shares of their own companies.
Automatic Data Corporate Filings
8K | 12th of November 2024 Report filed with the SEC to announce major events that shareholders should know about | ViewVerify |
F4 | 7th of November 2024 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 | 1st of November 2024 Quarterly performance report mandated by Securities and Exchange Commission (SEC), to be filed by publicly traded corporations | ViewVerify |
| 19th of September 2024 Other Reports | ViewVerify |
Automatic Data Earnings per Share Projection vs Actual
Automatic Data Corporate Management
| M Heron | Managing Operations | Profile | |
| Jonathan Lehberger | Corporate Officer | Profile | |
| David Kwon | Chief VP | Profile | |
| Don McGuire | Chief Officer | Profile | |
| Max Li | Global Officer | Profile |
Already Invested in Automatic Data Processing?
The danger of trading Automatic Data Processing is mainly related to its market volatility and Company specific events. As an investor, you must understand the concept of risk-adjusted return before you start trading. The most common way to measure the risk of Automatic Data is by using the Sharpe ratio. The ratio expresses how much excess return you acquire for the extra volatility you endure for holding a more risker asset than Automatic Data. The Sharpe ratio is calculated by using standard deviation and excess return to determine reward per unit of risk. To understand how volatile Automatic Data Processing is, you must compare it to a benchmark. Traditionally, the risk-free rate of return is the rate of return on the shortest-dated U.S. Treasury, such as a 3-year bond.
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.