Greater Bay Area AI Computing Tech Co (FRA:16H0) E10: €-0.09 (As of Dec. 2025)

Greater Bay Area AI Computing Tech Co  (FRA:16H0) 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 Greater Bay Area AI Computing Tech Co was 3.94. The lowest was 0.29. And the median was 1.48.

Be Aware

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

Greater Bay Area AI Computing Tech Co E10 Related Terms

The historical data trend for Greater Bay Area AI Computing Tech Co'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.

Greater Bay Area AI Computing Tech Co E10 Chart

Greater Bay Area AI Computing Tech Co Annual Data
	Trend	Dec16	Dec17	Dec18	Dec19	Dec20	Dec21	Dec22	Dec23	Dec24	Dec25
E10		Get a 7-Day Free Trial					0.10	0.07	-0.02	-0.09	-0.09

Greater Bay Area AI Computing Tech Co Semi-Annual Data
	Jun16	Dec16	Jun17	Dec17	Jun18	Dec18	Jun19	Dec19	Jun20	Dec20	Jun21	Dec21	Jun22	Dec22	Jun23	Dec23	Jun24	Dec24	Jun25	Dec25
E10	Get a 7-Day Free Trial															-0.02	0.00	-0.09	0.00	-0.09

Greater Bay Area AI Computing Tech Co E10 Competitor Comparison

For the Real Estate - Development subindustry, Greater Bay Area AI Computing Tech Co'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.

Greater Bay Area AI Computing Tech Co Shiller PE Ratio vs Real Estate Industry

For the Real Estate industry and Real Estate sector, Greater Bay Area AI Computing Tech Co's Shiller PE Ratio distribution charts can be found below:

* The bar in red indicates where Greater Bay Area AI Computing Tech Co's Shiller PE Ratio falls into.

Greater Bay Area AI Computing Tech Co 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, Greater Bay Area AI Computing Tech Co's adjusted earnings per share data for the fiscal year that ended in Dec. 2025 was:

Current CPI (Dec. 2025) = 115.8323.

Greater Bay Area AI Computing Tech Co Annual Data

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

Greater Bay Area AI Computing Tech Co Business Description