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Automatic Data Processing (Automatic Data Processing) E10 : $6.07 (As of Dec. 2023)


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What is Automatic Data Processing E10?

E10 is a concept invented by Prof. Robert Shiller, who uses E10 for his Shiller P/E calculation. E10 is the average of the inflation adjusted earnings of a company over the past 10 years.

Automatic Data Processing's adjusted earnings per share data for the three months ended in Dec. 2023 was $2.130. Add all the adjusted EPS for the past 10 years together and divide 10 will get our e10, which is $6.07 for the trailing ten years ended in Dec. 2023.

During the past 12 months, Automatic Data Processing's average E10 Growth Rate was 12.20% per year. During the past 3 years, the average E10 Growth Rate was 14.10% per year. During the past 5 years, the average E10 Growth Rate was 12.10% per year. During the past 10 years, the average E10 Growth Rate was 8.40% 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 E10 growth rate using E10 data.

During the past 13 years, the highest 3-Year average E10 Growth Rate of Automatic Data Processing was 14.10% per year. The lowest was 4.30% per year. And the median was 9.00% per year.

As of today (2024-04-26), Automatic Data Processing's current stock price is $243.07. Automatic Data Processing's E10 for the quarter that ended in Dec. 2023 was $6.07. Automatic Data Processing's Shiller PE Ratio of today is 40.04.

During the past 13 years, the highest Shiller PE Ratio of Automatic Data Processing was 52.95. The lowest was 24.35. And the median was 37.66.


Automatic Data Processing E10 Historical Data

The historical data trend for Automatic Data Processing's E10 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 E10 Chart

Automatic Data Processing Annual Data
Trend Jun14 Jun15 Jun16 Jun17 Jun18 Jun19 Jun20 Jun21 Jun22 Jun23
E10
Get a 7-Day Free Trial Premium Member Only Premium Member Only 3.60 3.91 4.43 5.20 5.81

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
E10 Get a 7-Day Free Trial 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 5.41 5.62 5.81 5.98 6.07

Competitive Comparison of Automatic Data Processing's E10

For the Staffing & Employment Services subindustry, Automatic Data Processing's Shiller PE Ratio, along with its competitors' market caps and Shiller PE Ratio 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's Shiller PE Ratio Distribution in the Business Services Industry

For the Business Services industry and Industrials sector, Automatic Data Processing's Shiller PE Ratio distribution charts can be found below:

* The bar in red indicates where Automatic Data Processing's Shiller PE Ratio falls into.



Automatic Data Processing E10 Calculation

E10 is a concept invented by Prof. Robert Shiller, who uses E10 for his Shiller P/E calculation. When we calculate the today's Shiller P/E ratio of a stock, we use today's price divided by E10.

What is E10? How do we calculate E10?

E10 is the average of the inflation adjusted earnings of a company over the past 10 years. Let's use an example to explain.

If we want to calculate the E10 of Wal-Mart (WMT) for Dec. 31, 2010, we need to have the inflation data and the earnings from 2001 through 2010.

We adjusted the earnings of 2001 earnings data with the total inflation from 2001 through 2010 to the equivalent earnings in 2010. If the total inflation from 2001 to 2010 is 40%, and Wal-Mart earned $1 a share in 2001, then the 2001's equivalent earnings in 2010 is $1.4 a share. If Wal-Mart earns $1 again in 2002, and the total inflation from 2002 through 2010 is 35%, then the equivalent 2002 earnings in 2010 is $1.35. So on and so forth, you get the equivalent earnings of past 10 years. Then you add them together and divided the sum by 10 to get E10.

Please note that we use the CPI data of the country/region where the company is headquartered. If the CPI data for that country/region is not available, then we will use the CPI data of the United States as default.

For example, Automatic Data Processing's adjusted earnings per share data for the three months ended in Dec. 2023 was:

Adj_EPS= Earnings per Share (Diluted) /CPI of Dec. 2023 (Change)*Current CPI (Dec. 2023)
=2.13/129.4194*129.4194
=2.130

Current CPI (Dec. 2023) = 129.4194.

Automatic Data Processing Quarterly Data

per share eps CPI Adj_EPS
201403 1.080 99.695 1.402
201406 0.600 100.560 0.772
201409 0.610 100.428 0.786
201412 0.690 99.070 0.901
201503 1.030 99.621 1.338
201506 0.720 100.684 0.925
201509 0.720 100.392 0.928
201512 0.740 99.792 0.960
201603 1.170 100.470 1.507
201606 0.620 101.688 0.789
201609 0.810 101.861 1.029
201612 1.130 101.863 1.436
201703 1.310 102.862 1.648
201706 0.590 103.349 0.739
201709 0.930 104.136 1.156
201712 1.510 104.011 1.879
201803 1.490 105.290 1.831
201806 0.250 106.317 0.304
201809 1.150 106.507 1.397
201812 1.270 105.998 1.551
201903 1.730 107.251 2.088
201906 1.090 108.070 1.305
201909 1.340 108.329 1.601
201912 1.500 108.420 1.791
202003 1.900 108.902 2.258
202006 0.960 108.767 1.142
202009 1.400 109.815 1.650
202012 1.510 109.897 1.778
202103 1.900 111.754 2.200
202106 1.260 114.631 1.423
202109 1.650 115.734 1.845
202112 1.650 117.630 1.815
202203 2.210 121.301 2.358
202206 1.500 125.017 1.553
202209 1.870 125.227 1.933
202212 1.950 125.222 2.015
202303 2.510 127.348 2.551
202306 1.870 128.729 1.880
202309 2.080 129.860 2.073
202312 2.130 129.419 2.130

Add all the adjusted EPS together and divide 10 will get our e10.


Automatic Data Processing  (NAS:ADP) E10 Explanation

If a company grows much fast than inflation, E10 may underestimate the company's earnings power. Shiller PE Ratio can seem to be too high even the actual P/E is low.

For the Shiller P/E, the earnings of the past 10 years are inflation-adjusted and averaged. The result is used for P/E calculation. Since it looks at the average over the last 10 years, the Shiller P/E is also called PE10.

The Shiller P/E was first used by professor Robert Shiller to measure the valuation of the overall market. The same calculation is applied here to individual companies.

Automatic Data Processing's Shiller P/E Ratio of today is calculated as

Shiller PE Ratio=Share Price/E10
=243.07/6.07
=40.04

* 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.

During the past 13 years, the highest Shiller P/E Ratio of Automatic Data Processing was 52.95. The lowest was 24.35. And the median was 37.66.


Be Aware

Shiller PE Ratio works better for cyclical companies. It gives you a better idea on the company's real earnings power.


Automatic Data Processing E10 Related Terms

Thank you for viewing the detailed overview of Automatic Data Processing's E10 provided by GuruFocus.com. Please click on the following links to see related term pages.


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