Automatic Accounts Payable vs Short Long Term Debt Analysis

ADP Stock

USD 305.59 1.02 0.33%

Automatic Data financial indicator trend analysis is way more than just evaluating Automatic Data Processing prevailing accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Automatic Data Processing is a good investment. Please check the relationship between Automatic Data Accounts Payable and its Short Long Term Debt accounts. 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.

Accounts Payable vs Short Long Term Debt

Accounts Payable vs Short Long Term Debt Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Automatic Data Processing Accounts Payable account and Short Long Term Debt. At this time, the significance of the direction appears to have almost no relationship.

The correlation between Automatic Data's Accounts Payable and Short Long Term Debt is 0.11. Overlapping area represents the amount of variation of Accounts Payable that can explain the historical movement of Short Long Term Debt in the same time period over historical financial statements of Automatic Data Processing, assuming nothing else is changed. The correlation between historical values of Automatic Data's Accounts Payable and Short Long Term Debt is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Accounts Payable of Automatic Data Processing are associated (or correlated) with its Short Long Term Debt. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Short Long Term Debt has no effect on the direction of Accounts Payable i.e., Automatic Data's Accounts Payable and Short Long Term Debt go up and down completely randomly.

Correlation Coefficient

0.11

Relationship Direction	Positive
Relationship Strength	Insignificant

View All Relationships

Accounts Payable

An accounting item on the balance sheet that represents Automatic Data obligation to pay off a short-term debt to its creditors. The accounts payable entry is usually reported under current liabilities. If accounts payable of Automatic Data Processing are not paid within the agreed terms, the payables are considered to be in default, which may trigger a penalty or interest payment, or the revocation of additional credit from the supplier. Accounts payable may also be considered a source of cash, since they represent funds being borrowed from suppliers. Given these cash flow considerations, suppliers have a natural inclination to push for shorter payment terms, while creditors want to lengthen the payment terms. The amount a company owes to suppliers or vendors for products or services received but not yet paid for. It represents the company's short-term liabilities.

Short Long Term Debt

The total of a company's short-term and long-term borrowings.

Most indicators from Automatic Data's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators 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 fundamental ratios indicators, 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 Sales General And Administrative To Revenue is relatively stable compared to the past year. As of 11/22/2024, Enterprise Value is likely to grow to about 61 B, while Selling General Administrative is likely to drop slightly above 2 B.

	2021	2022	2023	2024 (projected)
Gross Profit	7.0B	8.1B	8.7B	9.2B
Total Revenue	16.5B	18.0B	19.2B	20.2B

Gross Profit Total Revenue

Automatic Data fundamental ratios Correlations

	Total Assets	Short Long Term Debt Total	Other Current Liab	Total Current Liabilities	Total Stockholder Equity	Property Plant And Equipment Net	Net Debt	Retained Earnings	Cash	Non Current Assets Total	Non Currrent Assets Other	Cash And Short Term Investments	Net Receivables	Good Will	Common Stock Shares Outstanding	Non Current Liabilities Total	Inventory	Other Current Assets	Other Stockholder Equity	Total Liab	Property Plant And Equipment Gross	Total Current Assets	Short Term Debt	Intangible Assets	Accounts Payable	Common Stock Total Equity
Total Assets		0.71	0.99	0.99	0.23	0.72	0.61	0.95	0.27	0.85	0.78	0.3	0.94	0.41	-0.93	0.88	0.37	0.69	-0.95	0.99	0.62	1.0	0.18	0.85	0.14	0.47
Short Long Term Debt Total	0.71		0.67	0.71	-0.14	0.65	0.75	0.75	0.24	0.7	0.8	0.26	0.78	0.09	-0.71	0.84	0.18	0.43	-0.81	0.74	0.51	0.69	0.66	0.77	-0.33	0.35
Other Current Liab	0.99	0.67		1.0	0.14	0.68	0.64	0.91	0.21	0.79	0.75	0.23	0.92	0.33	-0.89	0.87	0.4	0.73	-0.92	1.0	0.62	1.0	0.1	0.81	0.11	0.48
Total Current Liabilities	0.99	0.71	1.0		0.15	0.7	0.65	0.93	0.23	0.82	0.76	0.25	0.93	0.36	-0.9	0.88	0.37	0.71	-0.94	1.0	0.62	1.0	0.18	0.83	0.1	0.47
Total Stockholder Equity	0.23	-0.14	0.14	0.15		0.31	-0.41	0.31	0.51	0.45	0.04	0.51	0.2	0.84	-0.32	-0.01	-0.06	-0.08	-0.15	0.13	0.01	0.19	0.06	0.2	0.7	0.03
Property Plant And Equipment Net	0.72	0.65	0.68	0.7	0.31		0.62	0.75	0.28	0.84	0.64	0.28	0.74	0.45	-0.81	0.72	0.52	0.45	-0.79	0.71	0.27	0.69	0.35	0.88	-0.09	0.2
Net Debt	0.61	0.75	0.64	0.65	-0.41	0.62		0.61	-0.27	0.59	0.72	-0.26	0.72	-0.16	-0.55	0.79	0.51	0.68	-0.71	0.67	0.49	0.6	0.19	0.78	-0.63	0.34
Retained Earnings	0.95	0.75	0.91	0.93	0.31	0.75	0.61		0.27	0.92	0.85	0.29	0.98	0.46	-0.94	0.87	0.25	0.61	-0.98	0.93	0.71	0.92	0.3	0.9	0.1	0.58
Cash	0.27	0.24	0.21	0.23	0.51	0.28	-0.27	0.27		0.25	0.14	1.0	0.2	0.43	-0.38	0.21	-0.06	-0.05	-0.23	0.23	0.08	0.28	0.29	0.11	0.43	0.14
Non Current Assets Total	0.85	0.7	0.79	0.82	0.45	0.84	0.59	0.92	0.25		0.77	0.26	0.91	0.63	-0.87	0.77	0.3	0.54	-0.88	0.82	0.55	0.8	0.39	0.94	0.04	0.44
Non Currrent Assets Other	0.78	0.8	0.75	0.76	0.04	0.64	0.72	0.85	0.14	0.77		0.16	0.87	0.13	-0.79	0.87	0.34	0.58	-0.87	0.79	0.67	0.75	0.31	0.8	-0.18	0.53
Cash And Short Term Investments	0.3	0.26	0.23	0.25	0.51	0.28	-0.26	0.29	1.0	0.26	0.16		0.22	0.43	-0.39	0.23	-0.07	-0.02	-0.25	0.25	0.11	0.3	0.29	0.12	0.43	0.16
Net Receivables	0.94	0.78	0.92	0.93	0.2	0.74	0.72	0.98	0.2	0.91	0.87	0.22		0.37	-0.9	0.9	0.29	0.71	-0.97	0.94	0.75	0.91	0.28	0.92	-0.04	0.62
Good Will	0.41	0.09	0.33	0.36	0.84	0.45	-0.16	0.46	0.43	0.63	0.13	0.43	0.37		-0.46	0.13	0.04	0.06	-0.33	0.34	0.09	0.37	0.25	0.42	0.56	0.07
Common Stock Shares Outstanding	-0.93	-0.71	-0.89	-0.9	-0.32	-0.81	-0.55	-0.94	-0.38	-0.87	-0.79	-0.39	-0.9	-0.46		-0.88	-0.42	-0.47	0.96	-0.91	-0.5	-0.91	-0.25	-0.88	-0.16	-0.4
Non Current Liabilities Total	0.88	0.84	0.87	0.88	-0.01	0.72	0.79	0.87	0.21	0.77	0.87	0.23	0.9	0.13	-0.88		0.47	0.65	-0.93	0.9	0.6	0.88	0.19	0.86	-0.18	0.45
Inventory	0.37	0.18	0.4	0.37	-0.06	0.52	0.51	0.25	-0.06	0.3	0.34	-0.07	0.29	0.04	-0.42	0.47		0.33	-0.35	0.38	-0.17	0.38	-0.24	0.45	-0.14	-0.27
Other Current Assets	0.69	0.43	0.73	0.71	-0.08	0.45	0.68	0.61	-0.05	0.54	0.58	-0.02	0.71	0.06	-0.47	0.65	0.33		-0.63	0.71	0.73	0.69	-0.18	0.59	-0.14	0.6
Other Stockholder Equity	-0.95	-0.81	-0.92	-0.94	-0.15	-0.79	-0.71	-0.98	-0.23	-0.88	-0.87	-0.25	-0.97	-0.33	0.96	-0.93	-0.35	-0.63		-0.95	-0.68	-0.93	-0.29	-0.92	0.02	-0.55
Total Liab	0.99	0.74	1.0	1.0	0.13	0.71	0.67	0.93	0.23	0.82	0.79	0.25	0.94	0.34	-0.91	0.9	0.38	0.71	-0.95		0.62	0.99	0.18	0.84	0.07	0.48
Property Plant And Equipment Gross	0.62	0.51	0.62	0.62	0.01	0.27	0.49	0.71	0.08	0.55	0.67	0.11	0.75	0.09	-0.5	0.6	-0.17	0.73	-0.68	0.62		0.59	0.04	0.54	-0.1	0.95
Total Current Assets	1.0	0.69	1.0	1.0	0.19	0.69	0.6	0.92	0.28	0.8	0.75	0.3	0.91	0.37	-0.91	0.88	0.38	0.69	-0.93	0.99	0.59		0.14	0.81	0.16	0.45
Short Term Debt	0.18	0.66	0.1	0.18	0.06	0.35	0.19	0.3	0.29	0.39	0.31	0.29	0.28	0.25	-0.25	0.19	-0.24	-0.18	-0.29	0.18	0.04	0.14		0.33	-0.16	-0.03
Intangible Assets	0.85	0.77	0.81	0.83	0.2	0.88	0.78	0.9	0.11	0.94	0.8	0.12	0.92	0.42	-0.88	0.86	0.45	0.59	-0.92	0.84	0.54	0.81	0.33		-0.19	0.42
Accounts Payable	0.14	-0.33	0.11	0.1	0.7	-0.09	-0.63	0.1	0.43	0.04	-0.18	0.43	-0.04	0.56	-0.16	-0.18	-0.14	-0.14	0.02	0.07	-0.1	0.16	-0.16	-0.19		-0.12
Common Stock Total Equity	0.47	0.35	0.48	0.47	0.03	0.2	0.34	0.58	0.14	0.44	0.53	0.16	0.62	0.07	-0.4	0.45	-0.27	0.6	-0.55	0.48	0.95	0.45	-0.03	0.42	-0.12

Click cells to compare fundamentals

Automatic Data Account Relationship Matchups

Automatic Data fundamental ratios Accounts

	2019	2020	2021	2022	2023	2024 (projected)
Total Assets	39.2B	48.8B	63.1B	51.0B	54.4B	57.1B
Short Long Term Debt Total	2.3B	3.3B	3.5B	6.8B	3.8B	4.0B
Other Current Liab	28.8B	37.7B	54.6B	38.6B	44.3B	46.5B
Total Current Liabilities	30.1B	38.1B	55.2B	42.8B	45.1B	47.3B
Total Stockholder Equity	5.8B	5.7B	3.2B	3.5B	4.5B	4.3B
Property Plant And Equipment Net	1.2B	1.1B	1.1B	1.1B	1.1B	723.2M
Net Debt	440.5M	753M	2.1B	1.3B	885.2M	929.5M
Retained Earnings	18.4B	19.5B	20.7B	22.1B	23.6B	24.8B
Cash	1.9B	2.6B	1.4B	2.1B	2.9B	1.5B
Non Current Assets Total	7.6B	8.0B	8.3B	8.8B	8.8B	7.8B
Non Currrent Assets Other	2.9B	3.3B	3.3B	4.0B	4.1B	4.6B
Cash And Short Term Investments	1.9B	2.6B	1.5B	2.1B	2.9B	1.6B
Net Receivables	2.4B	2.7B	3.2B	3.0B	3.4B	3.6B
Good Will	2.3B	2.3B	2.3B	2.3B	2.4B	1.9B
Common Stock Shares Outstanding	432.7M	428.1M	421.1M	415.7M	412.2M	431.7M
Liabilities And Stockholders Equity	39.2B	48.8B	63.1B	51.0B	54.4B	57.1B
Non Current Liabilities Total	3.3B	5.0B	4.7B	4.7B	4.7B	4.8B
Inventory	26.7B	34.9B	49.6B	1.0	1.15	1.09
Other Current Assets	506.2M	35.4B	50.2B	743.9M	39.2B	41.2B
Other Stockholder Equity	(12.7B)	(13.9B)	(15.5B)	(16.4B)	(17.3B)	(16.5B)
Total Liab	33.4B	43.1B	59.8B	47.5B	49.8B	52.3B
Property Plant And Equipment Gross	703M	1.1B	1.1B	1.1B	2.9B	3.0B
Total Current Assets	31.6B	40.7B	54.8B	42.2B	45.5B	47.8B
Accumulated Other Comprehensive Income	(14.8M)	10.6M	(2.0B)	(2.3B)	(1.8B)	(1.7B)
Short Term Debt	1.0B	23.5M	232.7M	3.8B	478.7M	506.5M
Intangible Assets	1.2B	1.2B	1.3B	1.3B	1.3B	1.1B
Accounts Payable	102M	141.1M	110.2M	96.8M	100.6M	137.4M
Short Term Investments	0.0	10.4M	32.7M	14.7M	384M	231.6M
Other Liab	1.9B	1.7B	1.3B	1.4B	1.2B	1.2B
Other Assets	2.9B	3.3B	3.5B	4.0B	1.0	0.95
Long Term Debt	1.0B	3.0B	3.0B	3.0B	3.0B	3.1B
Treasury Stock	(14.1B)	(15.4B)	(17.3B)	(18.5B)	(16.6B)	(15.8B)
Property Plant Equipment	703.9M	1.1B	1.1B	681.4M	783.6M	809.7M
Current Deferred Revenue	212.5M	203.9M	188.2M	188.6M	199.8M	223.3M
Net Tangible Assets	2.2B	2.1B	(408.3M)	(173.9M)	(156.5M)	(148.7M)
Retained Earnings Total Equity	18.4B	19.5B	20.7B	22.1B	25.4B	17.1B
Capital Surpluse	1.3B	1.5B	1.8B	2.1B	2.4B	2.5B

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

0.78	BV	BrightView Holdings	Pair Corr
0.75	DRVN	Driven Brands Holdings	Pair Corr

Moving against Automatic Stock

0.83	WHLM	Wilhelmina	Pair Corr
0.68	MLKN	MillerKnoll	Pair Corr
0.6	CVEO	Civeo Corp	Pair Corr
0.5	RTO	Rentokil Initial PLC	Pair Corr
0.47	AP	Ampco Pittsburgh	Pair Corr

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.

Pair Correlation Correlation Matching

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.

Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions

Feedback Blog

Made with optimal in San Francisco

2024 Macroaxis LLC