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Automatic Data Processing (Automatic Data Processing) EBITDA per Share

: $13.30 (TTM As of Dec. 2023)
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Automatic Data Processing's EBITDA per Share for the three months ended in Dec. 2023 was $3.37. Its EBITDA per Share for the trailing twelve months (TTM) ended in Dec. 2023 was $13.30.

During the past 12 months, the average EBITDA per Share Growth Rate of Automatic Data Processing was 17.10% per year. During the past 3 years, the average EBITDA per Share Growth Rate was 13.10% per year. During the past 5 years, the average EBITDA per Share Growth Rate was 13.20% per year. During the past 10 years, the average EBITDA per Share Growth Rate was 11.50% per year. Please click Growth Rate Calculation Example (GuruFocus) to see how GuruFocus calculates Wal-Mart Stores Inc (WMT)'s revenue growth rate. You can apply the same method to get the EBITDA per Share growth rate using EBITDA per Share data.

The historical rank and industry rank for Automatic Data Processing's EBITDA per Share or its related term are showing as below:

ADP' s 3-Year EBITDA Growth Rate Range Over the Past 10 Years
Min: -3.7   Med: 9.6   Max: 17.5
Current: 13.1

During the past 13 years, the highest 3-Year average EBITDA per Share Growth Rate of Automatic Data Processing was 17.50% per year. The lowest was -3.70% per year. And the median was 9.60% per year.

ADP's 3-Year EBITDA Growth Rate is ranked better than
51.72% of 843 companies
in the Business Services industry
Industry Median: 12.2 vs ADP: 13.10

Automatic Data Processing's EBITDA for the three months ended in Dec. 2023 was $1,389 Mil.

During the past 12 months, the average EBITDA Growth Rate of Automatic Data Processing was 16.00% per year. During the past 3 years, the average EBITDA Growth Rate was 11.60% per year. During the past 5 years, the average EBITDA Growth Rate was 11.80% per year. During the past 10 years, the average EBITDA Growth Rate was 9.70% per year. Please click Growth Rate Calculation Example (GuruFocus) to see how GuruFocus calculates Wal-Mart Stores Inc (WMT)'s revenue growth rate. You can apply the same method to get the EBITDA Growth Rate using EBITDA data.

During the past 13 years, the highest 3-Year average EBITDA Growth Rate of Automatic Data Processing was 18.60% per year. The lowest was -5.80% per year. And the median was 10.00% per year.


Automatic Data Processing EBITDA per Share Historical Data

The historical data trend for Automatic Data Processing's EBITDA per Share 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
EBITDA per Share
Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 8.10 8.71 9.18 10.45 12.61

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
EBITDA per Share 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 3.01 3.71 3.03 3.21 3.37

Automatic Data Processing EBITDA per Share Calculation

EBITDA per Share is the amount of Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA) per outstanding share of the company's stock.

Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA) is what the company earns before it expenses interest, taxes, depreciation and amortization.

Automatic Data Processing's EBITDA per Share for the fiscal year that ended in Jun. 2023 is calculated as

EBITDA per Share(A: Jun. 2023 )
=EBITDA/Shares Outstanding (Diluted Average)
=5240.2/415.700
=12.61

Automatic Data Processing's EBITDA per Share for the quarter that ended in Dec. 2023 is calculated as

EBITDA per Share(Q: Dec. 2023 )
=EBITDA/Shares Outstanding (Diluted Average)
=1388.8/412.500
=3.37

EBITDA per Share for the trailing twelve months (TTM) ended in Dec. 2023 adds up the quarterly data reported by the company within the most recent 12 months, which was $13.30

* 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.


Automatic Data Processing  (NAS:ADP) EBITDA per Share Explanation

EBITDA is a cash flow measure that ignores changes in working capital. EBITDA minus Depreciation, and Amortization (DA) equals EBIT. EBIT is profit before interest and taxes. Of course, Interest and taxes need to be paid.

While depreciation and amortization expenses do not need to be paid in cash, assets - especially tangible assets - do need to be replaced over time. EBITDA is not a measure of profit in any sense. EBITDA is a measure of cash generation by a business where the uses of that cash may be more or less discretionary depending on the nature of the business.

The EBITDA of a TV station is largely discretionary. Owners may use much of the EBITDA generated by a TV station as they see fit. The EBITDA of a railroad is largely non-discretionary. Owners must use much of the EBITDA generated by a railroad to replace the physical assets of the railroad or the business will literally fall apart over time.

EBITDA can be thought of as the cash a business generates that is available to:

Add more inventory
Add more receivables
Replace property, plant, and equipment
Add more property, plant, and equipment
Pay interest
Pay taxes
And finally: pay owners

EBITDA is widely used in financial analysis because Depreciation and Amortization are not present day cash expenses. Depreciation and amortization are the spreading out of the costs of assets over the time in which those assets provide benefits. Today's depreciation and amortization expenses relate to assets bought in the past. The assets being expensed may or may not need to be replaced in the future. And the cost to replace the assets may be more or less than it was in the past. For this reason, the depreciation and amortization expenses a company records in the present year may have no relationship to the actual cash costs needed to maintain its assets in future years.

A company's depreciation expense depends on both its expectations about the assets it owns and its choice of accounting methods. Two companies owning identical assets may have different depreciation expenses because they have different expectations about the useful lives of those assets and because they make different accounting choices.

Analysts use EBITDA to remove this element of personal choice from a company's accounting statements. The use of EBITDA is an attempt to make the results of different companies more comparable and uniform.


Be Aware

Although depreciation is not a cash cost, it is a real business cost because the company has to pay for the fixed assets when they purchase them. Both Warren Buffett and Charlie Munger hate the idea of EBITDA because in this calculation, depreciation is not counted as an expense.

EBITDA over Revenue is a good metric for comparing the operating efficiencies between companies because EBITDA is less vulnerable to companies' accounting choices. For this reason, EBITDA is used in ranking the Predictability of Companies.


Automatic Data Processing EBITDA per Share 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