MDB (MongoDB) E10 : $-3.60 (As of Apr. 2025)

MongoDB E10 Chart

MongoDB Annual Data
	Trend	Jan16	Jan17	Jan18	Jan19	Jan20	Jan21	Jan22	Jan23	Jan24	Jan25
E10		Get a 7-Day Free Trial					-	-	-	-	-3.60

MongoDB Quarterly Data
	Jul20	Oct20	Jan21	Apr21	Jul21	Oct21	Jan22	Apr22	Jul22	Oct22	Jan23	Apr23	Jul23	Oct23	Jan24	Apr24	Jul24	Oct24	Jan25	Apr25
E10	Get a 7-Day Free Trial															-	-	-	-3.60	-

Competitive Comparison of MongoDB's E10

For the Software - Infrastructure subindustry, MongoDB'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.

MongoDB's Shiller PE Ratio Distribution in the Software Industry

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

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

MongoDB 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, MongoDB's adjusted earnings per share data for the fiscal year that ended in Jan. 2025 was:

Current CPI (Jan. 2025) = 134.0288.

MongoDB Annual Data

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

MongoDB  (NAS:MDB) 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.

Be Aware

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

MongoDB E10 Related Terms

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MongoDB Business Description