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Verisk Analytics (MEX:VRSK) E10 : MXN102.34 (As of Dec. 2024)


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What is Verisk Analytics 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.

Verisk Analytics's adjusted earnings per share data for the three months ended in Dec. 2024 was MXN31.075. Add all the adjusted EPS for the past 10 years together and divide 10 will get our e10, which is MXN102.34 for the trailing ten years ended in Dec. 2024.

During the past 12 months, Verisk Analytics's average E10 Growth Rate was 11.30% per year. During the past 3 years, the average E10 Growth Rate was 11.70% per year. During the past 5 years, the average E10 Growth Rate was 12.40% 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 Verisk Analytics was 14.10% per year. The lowest was 11.70% per year. And the median was 11.90% per year.

As of today (2025-03-25), Verisk Analytics's current stock price is MXN6035.11. Verisk Analytics's E10 for the quarter that ended in Dec. 2024 was MXN102.34. Verisk Analytics's Shiller PE Ratio of today is 58.97.

During the past 13 years, the highest Shiller PE Ratio of Verisk Analytics was 69.08. The lowest was 39.57. And the median was 55.58.


Verisk Analytics E10 Historical Data

The historical data trend for Verisk Analytics'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.

Verisk Analytics E10 Chart

Verisk Analytics Annual Data
Trend Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Dec24
E10
Get a 7-Day Free Trial Premium Member Only Premium Member Only 59.91 70.93 77.85 77.15 102.34

Verisk Analytics Quarterly Data
Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24 Dec24
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 77.15 74.65 84.35 96.40 102.34

Competitive Comparison of Verisk Analytics's E10

For the Consulting Services subindustry, Verisk Analytics'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.


Verisk Analytics's Shiller PE Ratio Distribution in the Business Services Industry

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

* The bar in red indicates where Verisk Analytics's Shiller PE Ratio falls into.



Verisk Analytics 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, Verisk Analytics's adjusted earnings per share data for the three months ended in Dec. 2024 was:

Adj_EPS= Earnings per Share (Diluted) /CPI of Dec. 2024 (Change)*Current CPI (Dec. 2024)
=31.075/133.1571*133.1571
=31.075

Current CPI (Dec. 2024) = 133.1571.

Verisk Analytics Quarterly Data

per share eps CPI Adj_EPS
201503 9.299 99.621 12.429
201506 15.219 100.684 20.128
201509 13.011 100.392 17.258
201512 11.349 99.792 15.143
201603 9.296 100.470 12.320
201606 28.295 101.688 37.051
201609 14.308 101.861 18.704
201612 13.195 101.863 17.249
201703 12.051 102.862 15.600
201706 13.015 103.349 16.769
201709 13.067 104.136 16.709
201712 23.960 104.011 30.674
201803 14.352 105.290 18.151
201806 17.881 106.317 22.395
201809 18.518 106.507 23.152
201812 17.082 105.998 21.459
201903 15.712 107.251 19.507
201906 17.288 108.070 21.301
201909 3.948 108.329 4.853
201912 15.088 108.420 18.530
202003 24.386 108.902 29.817
202006 24.929 108.767 30.519
202009 24.742 109.815 30.001
202012 21.284 109.897 25.789
202103 21.054 111.754 25.086
202106 18.712 114.631 21.736
202109 25.497 115.734 29.335
202112 17.847 117.630 20.203
202203 62.321 121.301 68.412
202206 24.946 125.017 26.570
202209 24.138 125.227 25.667
202212 7.603 125.222 8.085
202303 6.669 127.348 6.973
202306 23.144 128.729 23.940
202309 22.470 129.860 23.041
202312 20.199 129.419 20.782
202403 25.226 131.776 25.490
202406 39.388 132.554 39.567
202409 30.323 133.029 30.352
202412 31.075 133.157 31.075

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


Verisk Analytics  (MEX:VRSK) 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.

Verisk Analytics's Shiller P/E Ratio of today is calculated as

Shiller PE Ratio=Share Price/E10
=6035.11/102.34
=58.97

* 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 Verisk Analytics was 69.08. The lowest was 39.57. And the median was 55.58.


Be Aware

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


Verisk Analytics E10 Related Terms

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


Verisk Analytics Business Description

Address
545 Washington Boulevard, Jersey City, NJ, USA, 07310-1686
Verisk Analytics is the leading provider of statistical, actuarial, and underwriting data for the United States' property and casualty insurance industry. Verisk leverages a vast contributory database and proprietary data assets to develop analytical tools helping insurance providers to better assess and price risk, achieve operational efficiency and optimize claim settlement processes. While Verisk also offers tools to quantify costs after loss events occur and to detect fraudulent activity, it is expanding into adjacent markets of life insurance, marketing, and non-US operations.