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Automatic Data Processing (Automatic Data Processing) Altman Z-Score

: 2.29 (As of Today)
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The Altman Z-Score is a model designed to predict the likelihood of a company going bankrupt within the next two years. Created by American finance professor Edward Altman in 1968, the model is specifically designed for publicly traded manufacturing companies with assets greater than $1 million.

Warning Sign:

Altman Z-score of 2.3 is in the grey area. This implies that the company is under some kind of financial stress. If it is below 1.8, the company may face bankruptcy risk.

Automatic Data Processing has a Altman Z-Score of 2.29, indicating it is in Grey Zones. This implies that Automatic Data Processing is in some kind of financial stress. If it is below 1.81, the company may face bankrupcy risk.

The zones of discrimination were as such:

When Altman Z-Score <= 1.8, it is in Distress Zones.
When Altman Z-Score >= 3, it is in Safe Zones.
When Altman Z-Score is between 1.8 and 3, it is in Grey Zones.

The historical rank and industry rank for Automatic Data Processing's Altman Z-Score or its related term are showing as below:

ADP' s Altman Z-Score Range Over the Past 10 Years
Min: 1.35   Med: 2.04   Max: 2.61
Current: 2.3

During the past 13 years, Automatic Data Processing's highest Altman Z-Score was 2.61. The lowest was 1.35. And the median was 2.04.


Automatic Data Processing Altman Z-Score Historical Data

The historical data trend for Automatic Data Processing's Altman Z-Score can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

* Premium members only.

Automatic Data Processing Annual Data
Trend Jun14 Jun15 Jun16 Jun17 Jun18 Jun19 Jun20 Jun21 Jun22 Jun23
Altman Z-Score
Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 2.38 2.49 2.33 1.79 2.38

Automatic Data Processing Quarterly Data
Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
Altman Z-Score Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 2.25 2.02 2.38 2.59 2.25

Competitive Comparison

For the Staffing & Employment Services subindustry, Automatic Data Processing's Altman Z-Score, along with its competitors' market caps and Altman Z-Score data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


Automatic Data Processing Altman Z-Score Distribution

For the Business Services industry and Industrials sector, Automatic Data Processing's Altman Z-Score distribution charts can be found below:

* The bar in red indicates where Automatic Data Processing's Altman Z-Score falls into.



Automatic Data Processing Altman Z-Score Calculation

Altman Z-Score model is an accurate forecaster of failure up to two years prior to distress. It can be considered the assessment of the distress of industrial corporations.

Automatic Data Processing's Altman Z-Score for today is calculated with this formula:

Z=1.2*X1+1.4*X2+3.3*X3+0.6*X4+1.0*X5
=1.2*0.0078+1.4*0.3988+3.3*0.0867+0.6*1.8845+1.0*0.3097
=2.29

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency. GuruFocus does not calculate Altman Z-Score when X4 or X5 value is 0.

Trailing Twelve Months (TTM) ended in Dec. 2023:
Total Assets was $57,069 Mil.
Total Current Assets was $48,543 Mil.
Total Current Liabilities was $48,098 Mil.
Retained Earnings was $22,757 Mil.
Pre-Tax Income was 1143.8 + 1092.8 + 1005.6 + 1364 = $4,606 Mil.
Interest Expense was -104.9 + -91.6 + -106.9 + -38.3 = $-342 Mil.
Revenue was 4442.7 + 4310.7 + 4242.1 + 4678.4 = $17,674 Mil.
Market Cap (Today) was $99,407 Mil.
Total Liabilities was $52,750 Mil.

* Note that for stock reported semi-annually or annually, GuruFocus uses latest annual data as the TTM data.

X1=Working Capital/Total Assets
=(Total Current Assets - Total Current Liabilities)/Total Assets
=(48543.4 - 48097.7)/57069.4
=0.0078

X2=Retained Earnings/Total Assets
=22757.1/57069.4
=0.3988

X3=Earnings Before Interest and Taxes/Total Assets
=(Pre-Tax Income - Interest Expense)/Total Assets
=(4606.2 - -341.7)/57069.4
=0.0867

X4=Market Value Equity/Book Value of Total Liabilities
=Market Cap/Total Liabilities
=99407.208/52749.8
=1.8845

X5=Revenue/Total Assets
=17673.9/57069.4
=0.3097

The zones of discrimination were as such:

Distress Zones - 1.81 < Grey Zones < 2.99 - Safe Zones

Automatic Data Processing has a Altman Z-Score of 2.29 indicating it is in Grey Zones.

Study by Altman found that companies that are in Distress Zone have more than 80% of chances of bankruptcy in two years.


Automatic Data Processing  (NAS:ADP) Altman Z-Score Explanation

X1: The Working Capital/Total Assets (WC/TA) ratio is a measure of the net liquid assets of the firm relative to the total capitalization. Working capital is defined as the difference between current assets and current liabilities. Ordinarily, a firm experiencing consistent operating losses will have shrinking current assets in relation to total assets. Altman found this one proved to be the most valuable liquidity ratio comparing with the current ratio and the quick ratio. This is however the least significant of the five factors.

X2: Retained Earnings/Total Assets: the RE/TA ratio measures the leverage of a firm. Retained earnings is the account which reports the total amount of reinvested earnings and/or losses of a firm over its entire life. Those firms with high RE, relative to TA, have financed their assets through retention of profits and have not utilized as much debt.

X3, Earnings Before Interest and Taxes/Total Assets (EBIT/TA): This ratio is a measure of the true productivity of the firm's assets, independent of any tax or leverage factors. Since a firm's ultimate existence is based on the earning power of its assets, this ratio appears to be particularly appropriate for studies dealing with corporate failure. This ratio continually outperforms other profitability measures, including cash flow.

X4, Market Value of Equity/Book Value of Total Liabilities (MVE/TL): The measure shows how much the firm's assets can decline in value (measured by market value of equity plus debt) before the liabilities exceed the assets and the firm becomes insolvent.

X5, Revenue/Total Assets (S/TA): The capital-turnover ratio is a standard financial ratio illustrating the sales generating ability of the firm's assets.

Read more about Altman Z-Score and the original research.


Be Aware

Altman Z-Score does not apply to financial companies.


Automatic Data Processing Altman Z-Score Related Terms

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Automatic Data Processing (Automatic Data Processing) Business Description

Address
One ADP Boulevard, Roseland, NJ, USA, 07068
ADP is a provider of payroll and human capital management solutions servicing the full scope of businesses from micro to global enterprises. ADP was established in 1949 and serves over 1 million clients primarily in the United States. ADP's employer services segment offers payroll, human capital management solutions, human resources outsourcing, insurance and retirement services. The smaller but faster-growing professional employer organization segment provides HR outsourcing solutions to small and midsize businesses through a co-employment model.
Executives
John Ayala officer: Corp. VP ONE ADP BOULEVARD, ROSELAND NJ 07068
Maria Black officer: Corp. VP ONE ADP BOULEVARD, ROSELAND NJ 07068
Brock Albinson officer: Corp. VP ONE ADP BOULEVARD, ROSELAND NJ 07068
David Kwon officer: Corp VP ONE ADP BOULEVARD, ROSELAD NJ 07068
Don Mcguire officer: Corp VP ONE ADP BOULEVARD, ROSELAND NJ 07068
Carlos A Rodriguez officer: Corporate Vice President 10200 SUNSET DRIVE, MIAMI FL 33173
Michael A Bonarti officer: Staff Vice President ONE ADP BOULEVARD, ROSELAND NJ 07068
Christopher D'ambrosio officer: Corp. VP ONE ADP BOULEVARD, ROSELAND NJ 07068
Joseph Desilva officer: Corp VP ONE ADP BOULEVARD, ROSELAND NJ 07068
Paul Boland officer: Corp. VP ONE ADP BOULEVARD, ROSELAND NJ 07068
Donald Weinstein officer: Corporate VP ONE ADP BOULEVARD, ROSELAND NJ 07068
James T Sperduto officer: Corp VP ONE ADP BOULEVARD, ROSELAND NJ 07068
Laura G Brown officer: Corp. VP ONE ADP BOULEVARD, ROSELAND NJ 07068
Augusto J Blanchard officer: Corp VP ONE ADP BOULEVARD, ROSELAND NJ 07068
Alexander Quevedo officer: Corp VP ONE ADP BOULEVARD, ROSELAND NJ 07068