Automatic Data Bonds
| ADP Stock | USD 244.08 0.23 0.09% |
Automatic Data Processing holds a debt-to-equity ratio of 1.395. At this time, Automatic Data's Debt To Assets are relatively stable compared to the past year. As of 04/16/2024, Long Term Debt To Capitalization is likely to grow to 0.46, while Cash Flow To Debt Ratio is likely to drop 0.50. Automatic Data's financial risk is the risk to Automatic Data stockholders that is caused by an increase in debt. In other words, with a high degree of financial leverage come high-interest payments, which usually reduce Earnings Per Share (EPS).
Asset vs Debt
Equity vs Debt
Automatic Data's liquidity is one of the most fundamental aspects of both its future profitability and its ability to meet different types of ongoing financial obligations. Automatic Data's cash, liquid assets, total liabilities, and shareholder equity can be utilized to evaluate how much leverage the Company is using to sustain its current operations. For traders, higher-leverage indicators usually imply a higher risk to shareholders. In addition, it helps Automatic Stock's retail investors understand whether an upcoming fall or rise in the market will negatively affect Automatic Data's stakeholders.
For most companies, including Automatic Data, marketable securities, inventories, and receivables are the most common assets that could be converted to cash. However, for the executing running Automatic Data Processing the most critical issue when dealing with liquidity needs is whether the current assets are properly aligned with its current liabilities. If not, management will need to obtain alternative financing to ensure that there are always enough cash equivalents on the balance sheet in reserve to pay for obligations.
Price Book 23.1966 | Book Value 10.518 | Operating Margin 0.2554 | Profit Margin 0.1914 | Return On Assets 0.0532 |
Automatic |
Automatic Data Bond Ratings
Automatic Data Processing bond ratings play a critical role in determining how much Automatic Data have to pay to access credit markets, i.e., the amount of interest on their issued debt. The threshold between investment-grade and speculative-grade ratings has important market implications for Automatic Data's borrowing costs.| Piotroski F Score | 7 Strong |
| Beneish M Score | -2.34 Unlikely Manipulator |
Automatic Data Processing Debt to Cash Allocation
As Automatic Data Processing follows its natural business cycle, the capital allocation decisions will not magically go away. Automatic Data's decision-makers have to determine if most of the cash flows will be poured back into or reinvested in the business, reserved for other projects beyond operational needs, or paid back to stakeholders and investors. Many companies eventually find out that there is only so much market out there to be conquered, and adding the next product or service is only half as profitable per unit as their current endeavors. Eventually, the company will reach a point where cash flows are strong, and extra cash is available but not fully utilized. In this case, the company may start buying back its stock from the public or issue more dividends.
The company has 3.34 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. Debt can assist Automatic Data until it has trouble settling it off, either with new capital or with free cash flow. So, Automatic Data's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Automatic Data Processing sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Automatic to invest in growth at high rates of return. When we think about Automatic Data's use of debt, we should always consider it together with cash and equity.Automatic Data Total Assets Over Time
Automatic Data Assets Financed by Debt
Typically, companies with high debt-to-asset ratios are said to be highly leveraged. The higher the ratio, the greater risk will be associated with the Automatic Data's operation. In addition, a high debt-to-assets ratio may indicate a low borrowing capacity of Automatic Data, which in turn will lower the firm's financial flexibility. Like all other financial ratios, a an Automatic Data debt ratio should be compared their industry average or other competing firms.Automatic Data Corporate Bonds Issued
Automatic Data issues bonds to finance its operations. Corporate bonds make up one of the most significant components of the U.S. bond market and are considered the world's largest securities market. Automatic Data Processing uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Automatic bonds can be classified according to their maturity, which is the date when Automatic Data Processing has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
Automatic Short Long Term Debt Total
Short Long Term Debt Total |
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Understaning Automatic Data Use of Financial Leverage
Automatic Data financial leverage ratio helps in determining the effect of debt on the overall profitability of the company. It measures Automatic Data's total debt position, including all of outstanding debt obligations, and compares it with the equity. In simple terms, the high financial leverage means the cost of production, together with running the business day-to-day, is high, whereas, lower financial leverage implies lower fixed cost investment in the business and generally considered by investors to be a good sign. So if creditors own a majority of Automatic Data assets, the company is considered highly leveraged. Understanding the composition and structure of overall Automatic Data debt and outstanding corporate bonds gives a good idea of how risky the capital structure of a business and if it is worth investing in it. Financial leverage can amplify the potential profits to Automatic Data's owners, but it also increases the potential losses and risk of financial distress, including bankruptcy, if the firm cannot cover its debt costs. The degree of Automatic Data's financial leverage can be measured in several ways, including by ratios such as the debt-to-equity ratio (total debt / total equity), equity multiplier (total assets / total equity), or the debt ratio (total debt / total assets).
| Last Reported | Projected for Next Year | ||
| Short and Long Term Debt Total | 3.8 B | 4 B | |
| Net Debt | 1.1 B | 1.2 B | |
| Short Term Debt | 4.4 B | 4.6 B | |
| Long Term Debt | 3.4 B | 3.6 B | |
| Short and Long Term Debt | 122.8 M | 116.6 M | |
| Long Term Debt Total | 3.4 B | 2.1 B | |
| Net Debt To EBITDA | 0.21 | 0.23 | |
| Debt To Equity | 1.84 | 1.93 | |
| Interest Debt Per Share | 16.16 | 16.97 | |
| Debt To Assets | 0.16 | 0.17 | |
| Long Term Debt To Capitalization | 0.44 | 0.46 | |
| Total Debt To Capitalization | 0.60 | 0.63 | |
| Debt Equity Ratio | 1.84 | 1.93 | |
| Debt Ratio | 0.16 | 0.17 | |
| Cash Flow To Debt Ratio | 0.53 | 0.50 |
Automatic Data Investors Sentiment
The influence of Automatic Data's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Automatic. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Automatic Data's public news can be used to forecast risks associated with an investment in Automatic. The trend in average sentiment can be used to explain how an investor holding Automatic can time the market purely based on public headlines and social activities around Automatic Data Processing. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Automatic Data's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Automatic Data's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Automatic Data's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Automatic Data.
Automatic Data Implied Volatility | 28.12 |
Automatic Data's implied volatility exposes the market's sentiment of Automatic Data Processing stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Automatic Data's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Automatic Data stock will not fluctuate a lot when Automatic Data's options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Automatic Data in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Automatic Data's short interest history, or implied volatility extrapolated from Automatic Data options trading.
Pair Trading with Automatic Data
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Automatic Data position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Automatic Data will appreciate offsetting losses from the drop in the long position's value.Moving against Automatic Stock
| 0.59 | LNZA | LanzaTech Global Financial Report 20th of May 2024 | PairCorr |
| 0.57 | VIRC | Virco Manufacturing Report 26th of April 2024 | PairCorr |
| 0.55 | DSS | DSS Inc Financial Report 21st of May 2024 | PairCorr |
| 0.53 | BE | Bloom Energy Corp Financial Report 14th of May 2024 | PairCorr |
| 0.41 | BR | Broadridge Financial Financial Report 7th of May 2024 | PairCorr |
The ability to find closely correlated positions to Automatic Data could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Automatic Data when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Automatic Data - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Automatic Data Processing to buy it.
The correlation of Automatic Data is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Automatic Data moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Automatic Data Processing moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Automatic Data can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out the analysis of Automatic Data Fundamentals Over Time. Note that the Automatic Data Processing information on this page should be used as a complementary analysis to other Automatic Data's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
Complementary 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.
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Is Automatic Data's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Automatic Data. If investors know Automatic will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Automatic Data listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.092 | Dividend Share 5.15 | Earnings Share 8.59 | Revenue Per Share 45.09 | Quarterly Revenue Growth 0.063 |
The market value of Automatic Data Processing is measured differently than its book value, which is the value of Automatic that is recorded on the company's balance sheet. Investors also form their own opinion of Automatic Data's value that differs from its market value or its book value, called intrinsic value, which is Automatic Data's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Automatic Data's market value can be influenced by many factors that don't directly affect Automatic Data's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Automatic Data's value and its price as these two are different measures arrived at by different means. Investors typically determine if Automatic Data is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Automatic Data's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
What is Financial Leverage?
Financial leverage is the use of borrowed money (debt) to finance the purchase of assets with the expectation that the income or capital gain from the new asset will exceed the cost of borrowing. In most cases, the debt provider will limit how much risk it is ready to take and indicate a limit on the extent of the leverage it will allow. In the case of asset-backed lending, the financial provider uses the assets as collateral until the borrower repays the loan. In the case of a cash flow loan, the general creditworthiness of the company is used to back the loan. The concept of leverage is common in the business world. It is mostly used to boost the returns on equity capital of a company, especially when the business is unable to increase its operating efficiency and returns on total investment. Because earnings on borrowing are higher than the interest payable on debt, the company's total earnings will increase, ultimately boosting stockholders' profits.Leverage and Capital Costs
The debt to equity ratio plays a role in the working average cost of capital (WACC). The overall interest on debt represents the break-even point that must be obtained to profitability in a given venture. Thus, WACC is essentially the average interest an organization owes on the capital it has borrowed for leverage. Let's say equity represents 60% of borrowed capital, and debt is 40%. This results in a financial leverage calculation of 40/60, or 0.6667. The organization owes 10% on all equity and 5% on all debt. That means that the weighted average cost of capital is (.4)(5) + (.6)(10) - or 8%. For every $10,000 borrowed, this organization will owe $800 in interest. Profit must be higher than 8% on the project to offset the cost of interest and justify this leverage.Benefits of Financial Leverage
Leverage provides the following benefits for companies:- Leverage is an essential tool a company's management can use to make the best financing and investment decisions.
- It provides a variety of financing sources by which the firm can achieve its target earnings.
- Leverage is also an essential technique in investing as it helps companies set a threshold for the expansion of business operations. For example, it can be used to recommend restrictions on business expansion once the projected return on additional investment is lower than the cost of debt.