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Open Text (Open Text) E10 : $1.52 (As of Dec. 2023)


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What is Open Text 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.

Open Text's adjusted earnings per share data for the three months ended in Dec. 2023 was $0.140. Add all the adjusted EPS for the past 10 years together and divide 10 will get our e10, which is $1.52 for the trailing ten years ended in Dec. 2023.

During the past 12 months, Open Text's average E10 Growth Rate was 2.50% per year. During the past 3 years, the average E10 Growth Rate was 8.70% per year. During the past 5 years, the average E10 Growth Rate was 8.60% per year. During the past 10 years, the average E10 Growth Rate was 20.50% 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 E10 growth rate using E10 data.

During the past 13 years, the highest 3-Year average E10 Growth Rate of Open Text was 43.80% per year. The lowest was 7.80% per year. And the median was 17.80% per year.

As of today (2024-04-29), Open Text's current stock price is $35.73. Open Text's E10 for the quarter that ended in Dec. 2023 was $1.52. Open Text's Shiller PE Ratio of today is 23.51.

During the past 13 years, the highest Shiller PE Ratio of Open Text was 82.87. The lowest was 18.98. And the median was 36.84.


Open Text E10 Historical Data

The historical data trend for Open Text'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.

Open Text E10 Chart

Open Text 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 1.12 1.14 1.36 1.51 1.50

Open Text 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 1.46 1.49 1.50 1.49 1.52

Competitive Comparison of Open Text's E10

For the Software - Application subindustry, Open Text'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.


Open Text's Shiller PE Ratio Distribution in the Software Industry

For the Software industry and Technology sector, Open Text's Shiller PE Ratio distribution charts can be found below:

* The bar in red indicates where Open Text's Shiller PE Ratio falls into.



Open Text 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, Open Text'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)
=0.14/125.4675*125.4675
=0.140

Current CPI (Dec. 2023) = 125.4675.

Open Text Quarterly Data

per share eps CPI Adj_EPS
201403 0.190 98.604 0.242
201406 0.360 99.473 0.454
201409 0.265 99.394 0.335
201412 0.300 98.367 0.383
201503 0.110 99.789 0.138
201506 0.275 100.500 0.343
201509 0.170 100.421 0.212
201512 0.360 99.947 0.452
201603 0.280 101.054 0.348
201606 0.350 102.002 0.431
201609 3.730 101.765 4.599
201612 0.180 101.449 0.223
201703 0.080 102.634 0.098
201706 0.170 103.029 0.207
201709 0.140 103.345 0.170
201712 0.320 103.345 0.389
201803 0.220 105.004 0.263
201806 0.230 105.557 0.273
201809 0.130 105.636 0.154
201812 0.390 105.399 0.464
201903 0.270 106.979 0.317
201906 0.270 107.690 0.315
201909 0.270 107.611 0.315
201912 0.400 107.769 0.466
202003 0.100 107.927 0.116
202006 0.090 108.401 0.104
202009 0.380 108.164 0.441
202012 -0.240 108.559 -0.277
202103 0.330 110.298 0.375
202106 0.660 111.720 0.741
202109 0.480 112.905 0.533
202112 0.320 113.774 0.353
202203 0.280 117.646 0.299
202206 0.380 120.806 0.395
202209 -0.430 120.648 -0.447
202212 0.960 120.964 0.996
202303 0.210 122.702 0.215
202306 -0.180 124.203 -0.182
202309 0.300 125.230 0.301
202312 0.140 125.468 0.140

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


Open Text  (NAS:OTEX) 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.

Open Text's Shiller P/E Ratio of today is calculated as

Shiller PE Ratio=Share Price/E10
=35.73/1.52
=23.51

* 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 Open Text was 82.87. The lowest was 18.98. And the median was 36.84.


Be Aware

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


Open Text E10 Related Terms

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


Open Text (Open Text) Business Description

Traded in Other Exchanges
Address
275 Frank Tompa Drive, Waterloo, ON, CAN, N2L 0A1
Open Text Corp grew out of a technology project involving the Oxford English Dictionary at Canada's University of Waterloo in the mid-1980s. Its software allows clients to archive, aggregate, retrieve, and search unstructured information (such as documents, e-mail, and presentations). The OpenText Information Management platform and services provide secure and scalable solutions for global enterprises, SMBs, governments, and consumers around the world. It also accelerates transformations with intelligent tools and services. The company is based in Ontario, Canada.