Automatic Accounts Payable vs Cash And Short Term Investments Analysis

0HJI Stock   303.87  2.84  0.94%   
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 Cash And Short Term Investments 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 board of governors.

Accounts Payable vs Cash And Short Term Investments

Accounts Payable vs Cash And Short Term Investments 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 Cash And Short Term Investments. At this time, the significance of the direction appears to have weak contrarian relationship.
The correlation between Automatic Data's Accounts Payable and Cash And Short Term Investments is -0.2. Overlapping area represents the amount of variation of Accounts Payable that can explain the historical movement of Cash And Short Term Investments 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 Cash And Short Term Investments 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 Cash And Short Term Investments. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Cash And Short Term Investments has no effect on the direction of Accounts Payable i.e., Automatic Data's Accounts Payable and Cash And Short Term Investments go up and down completely randomly.

Correlation Coefficient

-0.2
Relationship DirectionNegative 
Relationship StrengthInsignificant

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.

Cash And Short Term Investments

Short Term Investments is an account in the current assets section of Automatic Data Processing balance sheet. This account contains Automatic Data investments that will expire within one year. These investments include stocks and bonds that can be liquidated by Automatic Data Processing fairly quickly. The sum of a company's cash on hand, including bank deposits and short-term, highly liquid investments that are easily convertible to known amounts of cash.
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 board of governors.
Tax Provision is likely to drop to about 713 M in 2024. Selling General Administrative is likely to drop to about 3.2 B in 2024
 2021 2022 2023 2024 (projected)
Total Revenue16.5B18.0B19.2B15.2B
Depreciation And Amortization515.1M549.3M561.9M440.4M

Automatic Data fundamental ratios Correlations

0.850.990.99-0.730.730.80.87-0.720.30.710.76-0.250.310.91-0.16-0.740.40.870.98-0.861.00.99-0.230.82-0.32
0.850.790.81-0.540.760.90.89-0.810.390.670.79-0.160.390.86-0.33-0.740.320.90.81-0.840.840.830.110.81-0.27
0.990.791.0-0.780.680.730.83-0.660.280.660.7-0.240.290.88-0.16-0.70.380.830.99-0.821.00.99-0.310.77-0.29
0.990.811.0-0.770.690.770.84-0.680.270.660.71-0.230.280.89-0.18-0.70.380.830.99-0.831.00.99-0.260.78-0.29
-0.73-0.54-0.78-0.77-0.39-0.45-0.580.45-0.37-0.3-0.390.2-0.38-0.560.410.66-0.3-0.66-0.760.7-0.77-0.760.42-0.460.31
0.730.760.680.69-0.390.760.86-0.790.160.820.80.150.160.850.07-0.70.290.760.65-0.80.720.67-0.170.91-0.26
0.80.90.730.77-0.450.760.84-0.81-0.010.720.79-0.01-0.020.83-0.16-0.720.30.740.76-0.80.780.760.250.82-0.29
0.870.890.830.84-0.580.860.84-0.860.290.870.94-0.010.290.98-0.07-0.810.490.880.79-0.940.860.81-0.080.95-0.4
-0.72-0.81-0.66-0.680.45-0.79-0.81-0.86-0.2-0.83-0.83-0.12-0.2-0.84-0.090.78-0.44-0.75-0.620.83-0.7-0.65-0.11-0.870.42
0.30.390.280.27-0.370.16-0.010.29-0.20.020.16-0.431.00.25-0.39-0.390.350.530.28-0.370.310.34-0.310.13-0.31
0.710.670.660.66-0.30.820.720.87-0.830.020.950.110.020.890.37-0.650.350.720.58-0.770.680.6-0.10.96-0.28
0.760.790.70.71-0.390.80.790.94-0.830.160.95-0.030.150.930.11-0.720.390.820.64-0.840.740.67-0.010.95-0.31
-0.25-0.16-0.24-0.230.20.15-0.01-0.01-0.12-0.430.11-0.03-0.43-0.070.270.22-0.31-0.27-0.290.14-0.24-0.30.050.060.29
0.310.390.290.28-0.380.16-0.020.29-0.21.00.020.15-0.430.24-0.39-0.390.350.530.28-0.370.320.34-0.320.13-0.31
0.910.860.880.89-0.560.850.830.98-0.840.250.890.93-0.070.240.0-0.770.470.870.84-0.910.90.86-0.10.96-0.35
-0.16-0.33-0.16-0.180.410.07-0.16-0.07-0.09-0.390.370.110.27-0.390.00.160.08-0.24-0.240.14-0.19-0.25-0.230.12-0.06
-0.74-0.74-0.7-0.70.66-0.7-0.72-0.810.78-0.39-0.65-0.720.22-0.39-0.770.16-0.66-0.78-0.680.96-0.73-0.710.07-0.740.73
0.40.320.380.38-0.30.290.30.49-0.440.350.350.39-0.310.350.470.08-0.660.280.35-0.620.380.38-0.070.33-0.95
0.870.90.830.83-0.660.760.740.88-0.750.530.720.82-0.270.530.87-0.24-0.780.280.81-0.870.880.84-0.170.84-0.25
0.980.810.990.99-0.760.650.760.79-0.620.280.580.64-0.290.280.84-0.24-0.680.350.81-0.790.991.0-0.230.72-0.28
-0.86-0.84-0.82-0.830.7-0.8-0.8-0.940.83-0.37-0.77-0.840.14-0.37-0.910.140.96-0.62-0.87-0.79-0.85-0.820.13-0.860.61
1.00.841.01.0-0.770.720.780.86-0.70.310.680.74-0.240.320.9-0.19-0.730.380.880.99-0.850.99-0.260.8-0.29
0.990.830.990.99-0.760.670.760.81-0.650.340.60.67-0.30.340.86-0.25-0.710.380.841.0-0.820.99-0.240.74-0.3
-0.230.11-0.31-0.260.42-0.170.25-0.08-0.11-0.31-0.1-0.010.05-0.32-0.1-0.230.07-0.07-0.17-0.230.13-0.26-0.24-0.080.04
0.820.810.770.78-0.460.910.820.95-0.870.130.960.950.060.130.960.12-0.740.330.840.72-0.860.80.74-0.08-0.26
-0.32-0.27-0.29-0.290.31-0.26-0.29-0.40.42-0.31-0.28-0.310.29-0.31-0.35-0.060.73-0.95-0.25-0.280.61-0.29-0.30.04-0.26
Click cells to compare fundamentals

Automatic Data Account Relationship Matchups

Automatic Data fundamental ratios Accounts

201920202021202220232024 (projected)
Total Assets39.2B48.8B63.1B51.0B54.4B47.2B
Short Long Term Debt Total2.5B3.4B3.6B3.5B3.8B2.5B
Other Current Liab28.7B37.6B54.6B42.2B44.3B37.3B
Total Current Liabilities30.1B38.1B55.2B42.8B45.1B38.1B
Total Stockholder Equity5.8B5.7B3.2B3.5B4.5B3.9B
Property Plant And Equipment Net1.2B1.1B1.1B1.1B1.1B978.9M
Net Debt549.6M871.2M2.2B1.5B885.2M929.5M
Retained Earnings18.4B19.5B20.7B22.1B23.6B19.0B
Accounts Payable102M141.1M110.2M96.8M100.6M107.8M
Cash1.9B2.6B1.4B2.1B2.9B2.4B
Non Current Assets Total7.6B8.0B8.3B8.8B8.8B7.3B
Non Currrent Assets Other2.8B3.3B3.2B3.6B4.1B2.8B
Cash And Short Term Investments1.9B2.6B1.5B2.1B2.9B2.4B
Net Receivables2.4B2.7B3.2B3.0B3.4B2.5B
Good Will2.3B2.3B2.3B2.3B2.4B2.4B
Common Stock Shares Outstanding432.7M428.1M421.1M415.7M412.2M356.4M
Liabilities And Stockholders Equity39.2B48.8B63.1B51.0B54.4B47.2B
Non Current Liabilities Total3.3B5.0B4.7B4.7B4.7B3.7B
Other Current Assets27.2B35.4B50.2B37.1B39.2B35.1B
Other Stockholder Equity(12.7B)(13.9B)(15.5B)(16.4B)(17.3B)(18.2B)
Total Liab33.4B43.1B59.8B47.5B49.8B41.8B
Total Current Assets31.6B40.7B54.8B42.2B45.5B39.9B
Accumulated Other Comprehensive Income(14.8M)10.6M(2.0B)(2.3B)(1.8B)(1.7B)
Short Term Debt1.1B118.2M232.7M202.1M478.7M524.8M
Intangible Assets1.2B1.2B1.3B1.3B1.3B1.0B
Current Deferred Revenue212.5M203.9M188.2M188.6M199.8M169.4M
Capital Surpluse1.0B1.2B1.3B1.5B1.8B1.3B
Treasury Stock(12.2B)(13.1B)(14.1B)(15.4B)(13.8B)(14.5B)
Property Plant Equipment1.2B1.1B1.1B1.1B1.2B1.1B
Other Liab1.9B1.7B1.3B1.4B1.2B1.3B
Net Tangible Assets2.2B2.1B(408.3M)(173.9M)(156.5M)(148.7M)
Deferred Long Term Liab2.4B2.5B2.6B2.8B3.2B2.8B

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

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.