Automatic Historical Financial Ratios
| ADP Stock | USD 307.34 0.01 0% |
Automatic Data is presently reporting on over 111 different financial statement accounts. To analyze all of these accounts together requires a lot of time and effort. However, using these accounts to derive some meaningful and actionable indicators such as Dividend Yield of 0.0154, PTB Ratio of 22.34 or Days Sales Outstanding of 43.1 will help investors to properly organize and evaluate Automatic Data Processing financial condition quickly.
Automatic |
About Automatic Financial Ratios Analysis
Automatic Data ProcessingFinancial ratios are relationships based on a company's financial information. They can serve as useful tools to evaluate Automatic Data investment potential. Financial ratio analysis can also be defined as the process of presenting financial ratios, which are mathematical indicators calculated by comparing key financial information appearing on Automatic financial statements. Financial ratios are useful tools that help investors analyze and compare relationships between different pieces of financial information across Automatic Data history.
Automatic Data Financial Ratios Chart
Add Fundamental
Price To Sales Ratio
Price to Sales Ratio is figured by comparing Automatic Data Processing stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Automatic Data sales, a figure that is much harder to manipulate than other Automatic Data Processing multiples. Because sales tend to be more stable P/S ratio can be a good tool for screening cyclical companies fluctuating earnings patterns. A valuation ratio that compares a company's stock price to its revenues, calculated by dividing the company's market cap by its total sales or revenue over a 12-month period.Dividend Yield
Dividend Yield is Automatic Data Processing dividend as a percentage of Automatic Data stock price. Automatic Data Processing dividend yield is a measure of Automatic Data stock productivity, which can be interpreted as interest rate earned on an Automatic Data investment. A financial ratio that shows how much a company pays out in dividends each year relative to its stock price, calculated as annual dividends per share divided by price per share.Ptb Ratio
Price-to-Book ratio, a financial valuation metric used to compare a company's current market price to its book value. It provides insight into the value that market participants place on the company's equity relative to its net asset value.Inventory Turnover
A ratio showing how many times a company's inventory is sold and replaced over a period, indicating the efficiency of inventory management.Most ratios from Automatic Data's fundamentals are interrelated and interconnected. However, analyzing fundamentals ratios one by one will only give a small insight into Automatic Data Processing current financial condition. On the other hand, looking into the entire matrix of fundamentals ratios, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Automatic Data Processing. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in unemployment. At this time, Automatic Data's ROIC is relatively stable compared to the past year. As of 11/29/2024, Net Income Per Share is likely to grow to 9.59, while Book Value Per Share is likely to drop 6.13.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0189 | 0.0209 | 0.0226 | 0.0154 | Price To Sales Ratio | 5.33 | 5.05 | 5.04 | 5.29 |
Automatic Data fundamentals Correlations
Click cells to compare fundamentals
Automatic Data Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Automatic Data fundamentals Accounts
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Price To Sales Ratio | 4.4 | 5.64 | 5.33 | 5.05 | 5.04 | 5.29 | |
| Dividend Yield | 0.0229 | 0.0186 | 0.0189 | 0.0209 | 0.0226 | 0.0154 | |
| Ptb Ratio | 11.15 | 14.93 | 27.27 | 25.91 | 21.28 | 22.34 | |
| Days Sales Outstanding | 61.08 | 66.34 | 70.14 | 60.99 | 65.16 | 43.1 | |
| Book Value Per Share | 13.35 | 13.3 | 7.7 | 8.48 | 11.08 | 6.13 | |
| Free Cash Flow Yield | 0.0376 | 0.0306 | 0.0289 | 0.04 | 0.0371 | 0.058 | |
| Operating Cash Flow Per Share | 7.02 | 7.26 | 7.4 | 10.17 | 10.13 | 10.63 | |
| Capex To Depreciation | 1.28 | 0.99 | 1.07 | 1.04 | 1.0 | 0.74 | |
| Pb Ratio | 11.15 | 14.93 | 27.27 | 25.91 | 21.28 | 22.34 | |
| Ev To Sales | 4.43 | 5.69 | 5.46 | 5.12 | 5.08 | 5.33 | |
| Free Cash Flow Per Share | 5.59 | 6.07 | 6.08 | 8.79 | 8.75 | 9.19 | |
| Net Income Per Share | 5.73 | 6.1 | 7.04 | 8.25 | 9.14 | 9.59 | |
| Payables Turnover | 82.8 | 61.24 | 85.86 | 102.82 | 104.14 | 109.35 | |
| Research And Ddevelopement To Revenue | 0.0462 | 0.0478 | 0.0484 | 0.0469 | 0.0498 | 0.0684 | |
| Capex To Revenue | 0.0422 | 0.0337 | 0.0335 | 0.0317 | 0.0293 | 0.042 | |
| Cash Per Share | 4.43 | 6.04 | 3.51 | 5.07 | 7.1 | 7.45 | |
| Pocfratio | 21.2 | 27.37 | 28.38 | 21.61 | 23.27 | 13.47 | |
| Interest Coverage | 29.33 | 55.69 | 46.44 | 17.79 | 13.77 | 13.08 | |
| Pfcf Ratio | 26.62 | 32.72 | 34.55 | 25.01 | 26.92 | 17.57 | |
| Days Payables Outstanding | 4.41 | 5.96 | 4.25 | 3.55 | 3.5 | 3.33 | |
| Roe | 0.43 | 0.46 | 0.91 | 0.97 | 0.83 | 0.87 | |
| Ev To Operating Cash Flow | 21.34 | 27.62 | 29.04 | 21.91 | 23.46 | 13.21 | |
| Pe Ratio | 26.01 | 32.58 | 29.83 | 26.65 | 25.79 | 17.32 | |
| Return On Tangible Assets | 0.0692 | 0.0575 | 0.0496 | 0.0722 | 0.074 | 0.097 | |
| Ev To Free Cash Flow | 26.8 | 33.02 | 35.36 | 25.35 | 27.14 | 17.24 | |
| Earnings Yield | 0.0385 | 0.0307 | 0.0335 | 0.0375 | 0.0388 | 0.0552 | |
| Intangibles To Total Assets | 0.09 | 0.0728 | 0.0576 | 0.0723 | 0.0679 | 0.0645 | |
| Net Debt To E B I T D A | 0.015 | 0.12 | 0.19 | 0.47 | 0.24 | 0.14 | |
| Receivables Turnover | 5.58 | 5.98 | 5.5 | 5.2 | 5.6 | 7.62 | |
| Graham Number | 41.47 | 42.71 | 34.93 | 39.67 | 47.72 | 50.11 |
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 together with Automatic Stock
| 0.81 | DJCO | Daily Journal Corp | PairCorr |
| 0.79 | AI | C3 Ai Inc Earnings Call This Week | PairCorr |
| 0.95 | BL | Blackline | PairCorr |
| 0.69 | DT | Dynatrace Holdings LLC | PairCorr |
Moving against Automatic Stock
| 0.63 | VERB | VERB TECHNOLOGY PANY Tech Boost | PairCorr |
| 0.58 | VTEX | VTEX | PairCorr |
| 0.4 | DMAN | Innovativ Media Group | PairCorr |
| 0.32 | VCSA | Vacasa Inc Trending | 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.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.