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Automatic Data Processing (LTS:0HJI) E10 : $6.32 (As of Mar. 2024)


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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 Mar. 2024 was $2.880. Add all the adjusted EPS for the past 10 years together and divide 10 will get our e10, which is $6.32 for the trailing ten years ended in Mar. 2024.

During the past 12 months, Automatic Data Processing's average E10 Growth Rate was 10.50% 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 (2024-05-17), Automatic Data Processing's current stock price is $249.425. Automatic Data Processing's E10 for the quarter that ended in Mar. 2024 was $6.32. Automatic Data Processing's Shiller PE Ratio of today is 39.47.

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 37.79.


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 3.55 3.83 4.41 5.21 5.80

Automatic Data Processing Quarterly Data
Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
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 5.57 5.80 5.98 6.06 6.32

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 Mar. 2024 was:

Adj_EPS= Earnings per Share (Diluted) /CPI of Mar. 2024 (Change)*Current CPI (Mar. 2024)
=2.88/131.7762*131.7762
=2.880

Current CPI (Mar. 2024) = 131.7762.

Automatic Data Processing Quarterly Data

per share eps CPI Adj_EPS
201406 0.600 100.560 0.786
201409 0.610 100.428 0.800
201412 0.690 99.070 0.918
201503 1.030 99.621 1.362
201506 0.720 100.684 0.942
201509 0.720 100.392 0.945
201512 0.740 99.792 0.977
201603 1.170 100.470 1.535
201606 0.620 101.688 0.803
201609 0.810 101.861 1.048
201612 1.130 101.863 1.462
201703 1.310 102.862 1.678
201706 0.590 103.349 0.752
201709 0.930 104.136 1.177
201712 1.510 104.011 1.913
201803 1.490 105.290 1.865
201806 0.250 106.317 0.310
201809 1.150 106.507 1.423
201812 1.270 105.998 1.579
201903 1.730 107.251 2.126
201906 1.090 108.070 1.329
201909 1.340 108.329 1.630
201912 1.500 108.420 1.823
202003 1.900 108.902 2.299
202006 0.960 108.767 1.163
202009 1.400 109.815 1.680
202012 1.510 109.897 1.811
202103 1.900 111.754 2.240
202106 1.260 114.631 1.448
202109 1.650 115.734 1.879
202112 1.650 117.630 1.848
202203 2.210 121.301 2.401
202206 1.500 125.017 1.581
202209 1.870 125.227 1.968
202212 1.950 125.222 2.052
202303 2.510 127.348 2.597
202306 1.870 128.729 1.914
202309 2.080 129.860 2.111
202312 2.130 129.419 2.169
202403 2.880 131.776 2.880

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


Automatic Data Processing  (LTS:0HJI) 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
=249.425/6.32
=39.47

* 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 37.79.


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 (LTS:0HJI) 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.

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