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Business-intelligence of Oriental Nations (SZSE:300166) E10 : ¥0.00 (As of Mar. 2024)


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What is Business-intelligence of Oriental Nations 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.

Business-intelligence of Oriental Nations's adjusted earnings per share data for the three months ended in Mar. 2024 was ¥0.000. Add all the adjusted EPS for the past 10 years together and divide 10 will get our e10, which is ¥0.00 for the trailing ten years ended in Mar. 2024.

During the past 12 months, Business-intelligence of Oriental Nations's average E10 Growth Rate was -100.00% per year. During the past 3 years, the average E10 Growth Rate was -8.80% 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 Business-intelligence of Oriental Nations was -8.80% per year. The lowest was -8.80% per year. And the median was -8.80% per year.

As of today (2024-05-22), Business-intelligence of Oriental Nations's current stock price is ¥7.01. Business-intelligence of Oriental Nations's E10 for the quarter that ended in Mar. 2024 was ¥0.00. Business-intelligence of Oriental Nations's Shiller PE Ratio of today is .

During the past 13 years, the highest Shiller PE Ratio of Business-intelligence of Oriental Nations was 70.04. The lowest was 22.56. And the median was 38.36.


Business-intelligence of Oriental Nations E10 Historical Data

The historical data trend for Business-intelligence of Oriental Nations'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.

Business-intelligence of Oriental Nations E10 Chart

Business-intelligence of Oriental Nations Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
E10
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.27 0.29 0.31 0.27 0.22

Business-intelligence of Oriental Nations 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 0.27 0.27 0.28 0.22 -

Competitive Comparison of Business-intelligence of Oriental Nations's E10

For the Software - Application subindustry, Business-intelligence of Oriental Nations'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.


Business-intelligence of Oriental Nations's Shiller PE Ratio Distribution in the Software Industry

For the Software industry and Technology sector, Business-intelligence of Oriental Nations's Shiller PE Ratio distribution charts can be found below:

* The bar in red indicates where Business-intelligence of Oriental Nations's Shiller PE Ratio falls into.



Business-intelligence of Oriental Nations 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, Business-intelligence of Oriental Nations'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)
=0/115.2271*115.2271
=0.000

Current CPI (Mar. 2024) = 115.2271.

Business-intelligence of Oriental Nations Quarterly Data

per share eps CPI Adj_EPS
201406 0.019 98.200 0.022
201409 0.019 98.900 0.022
201412 0.094 99.000 0.109
201503 0.025 99.900 0.029
201506 0.038 99.500 0.044
201509 0.031 100.500 0.036
201512 0.156 100.600 0.179
201603 0.038 102.200 0.043
201606 0.032 101.400 0.036
201609 0.050 102.400 0.056
201612 0.210 102.600 0.236
201703 0.050 103.200 0.056
201706 0.050 103.100 0.056
201709 0.050 104.100 0.055
201712 0.260 104.500 0.287
201803 0.030 105.300 0.033
201806 0.070 104.900 0.077
201809 0.070 106.600 0.076
201812 0.330 106.500 0.357
201903 0.040 107.700 0.043
201906 0.040 107.700 0.043
201909 0.090 109.800 0.094
201912 0.300 111.200 0.311
202003 0.040 112.300 0.041
202006 0.040 110.400 0.042
202009 0.090 111.700 0.093
202012 0.110 111.500 0.114
202103 0.060 112.662 0.061
202106 0.040 111.769 0.041
202109 0.090 112.215 0.092
202112 0.080 113.108 0.081
202203 0.040 114.335 0.040
202206 0.010 114.558 0.010
202209 0.040 115.339 0.040
202212 -0.400 115.116 -0.400
202303 0.040 115.116 0.040
202306 0.020 114.558 0.020
202309 0.040 115.339 0.040
202312 -0.440 114.781 -0.442
202403 0.000 115.227 0.000

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


Business-intelligence of Oriental Nations  (SZSE:300166) 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.

During the past 13 years, the highest Shiller P/E Ratio of Business-intelligence of Oriental Nations was 70.04. The lowest was 22.56. And the median was 38.36.


Be Aware

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


Business-intelligence of Oriental Nations E10 Related Terms

Thank you for viewing the detailed overview of Business-intelligence of Oriental Nations's E10 provided by GuruFocus.com. Please click on the following links to see related term pages.


Business-intelligence of Oriental Nations (SZSE:300166) Business Description

Traded in Other Exchanges
N/A
Address
Chuangda 3rd Road, Number 1 Courtyard, Dongfang Guoxin Building, Building 1, Chaoyang District, Laiguangying, Beijing, CHN, 100102
Business-intelligence of Oriental Nations Corp Ltd is a China-based big data technology company. It has created a big data core for big data collection, aggregation, processing, storage, analysis, mining, application, and management. The products and services of the company include Big data product, Big data operation, and System integration and operation and maintenance.

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