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Automatic Data Processing (BUE:ADP) E10 : ARS986.36 (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 ARS1,537.860. Add all the adjusted EPS for the past 10 years together and divide 10 will get our e10, which is ARS986.36 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 (2024-04-28), Automatic Data Processing's current stock price is ARS44315.00. Automatic Data Processing's E10 for the quarter that ended in Dec. 2023 was ARS986.36. Automatic Data Processing's Shiller PE Ratio of today is 44.93.

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 1.46 223.24 121.63 205.11 498.17

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 313.06 380.71 498.17 824.13 986.36

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)
=1537.86/129.4194*129.4194
=1,537.860

Current CPI (Dec. 2023) = 129.4194.

Automatic Data Processing Quarterly Data

per share eps CPI Adj_EPS
201403 17.127 99.695 22.234
201406 9.750 100.560 12.548
201409 10.271 100.428 13.236
201412 11.800 99.070 15.415
201503 18.169 99.621 23.604
201506 13.085 100.684 16.819
201509 13.539 100.392 17.454
201512 19.156 99.792 24.843
201603 34.173 100.470 44.019
201606 17.335 101.688 22.062
201609 24.165 101.861 30.703
201612 35.827 101.863 45.519
201703 40.393 102.862 50.822
201706 19.456 103.349 24.364
201709 32.594 104.136 40.508
201712 57.667 104.011 71.754
201803 60.044 105.290 73.805
201806 12.470 106.317 15.180
201809 84.638 106.507 102.846
201812 95.771 105.998 116.933
201903 135.251 107.251 163.208
201906 97.400 108.070 116.642
201909 149.882 108.329 179.062
201912 179.321 108.420 214.053
202003 235.863 108.902 280.301
202006 131.443 108.767 156.401
202009 207.872 109.815 244.982
202012 245.768 109.897 289.427
202103 342.304 111.754 396.412
202106 238.720 114.631 269.516
202109 322.674 115.734 360.829
202112 333.267 117.630 366.670
202203 474.584 121.301 506.347
202206 360.990 125.017 373.703
202209 519.673 125.227 537.073
202212 653.835 125.222 675.752
202303 991.701 127.348 1,007.833
202306 897.600 128.729 902.416
202309 1,455.792 129.860 1,450.858
202312 1,537.860 129.419 1,537.860

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


Automatic Data Processing  (BUE: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
=44315.00/986.36
=44.93

* 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 (BUE:ADP) 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.