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Algoquant Fintech (BOM:505725) E10 : ₹2.47 (As of Dec. 2024)


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What is Algoquant Fintech 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.

Algoquant Fintech's adjusted earnings per share data for the three months ended in Dec. 2024 was ₹2.173. Add all the adjusted EPS for the past 10 years together and divide 10 will get our e10, which is ₹2.47 for the trailing ten years ended in Dec. 2024.

During the past 12 months, Algoquant Fintech's average E10 Growth Rate was -7.80% 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.

As of today (2025-04-06), Algoquant Fintech's current stock price is ₹877.85. Algoquant Fintech's E10 for the quarter that ended in Dec. 2024 was ₹2.47. Algoquant Fintech's Shiller PE Ratio of today is 355.40.

During the past 13 years, the highest Shiller PE Ratio of Algoquant Fintech was 473.78. The lowest was 22.53. And the median was 178.93.


Algoquant Fintech E10 Historical Data

The historical data trend for Algoquant Fintech'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.

Algoquant Fintech E10 Chart

Algoquant Fintech Annual Data
Trend Mar15 Mar16 Mar17 Mar18 Mar19 Mar20 Mar21 Mar22 Mar23 Mar24
E10
Get a 7-Day Free Trial Premium Member Only Premium Member Only - -2.80 2.07 2.15 1.85

Algoquant Fintech 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 2.68 1.85 2.02 2.15 2.47

Competitive Comparison of Algoquant Fintech's E10

For the Capital Markets subindustry, Algoquant Fintech'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.


Algoquant Fintech's Shiller PE Ratio Distribution in the Capital Markets Industry

For the Capital Markets industry and Financial Services sector, Algoquant Fintech's Shiller PE Ratio distribution charts can be found below:

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


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Algoquant Fintech 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, Algoquant Fintech'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)
=2.173/158.3229*158.3229
=2.173

Current CPI (Dec. 2024) = 158.3229.

Algoquant Fintech Quarterly Data

per share eps CPI Adj_EPS
201503 -0.541 97.163 -0.882
201506 -0.532 99.841 -0.844
201509 -0.635 101.753 -0.988
201512 -1.653 102.901 -2.543
201603 -2.492 102.518 -3.848
201606 -3.061 105.961 -4.574
201609 -1.507 105.961 -2.252
201612 -1.793 105.196 -2.699
201703 -5.621 105.196 -8.460
201706 -1.481 107.109 -2.189
201709 14.252 109.021 20.697
201712 22.916 109.404 33.163
201803 7.261 109.786 10.471
201806 0.564 111.317 0.802
201809 -0.545 115.142 -0.749
201812 -0.015 115.142 -0.021
201903 0.268 118.202 0.359
201906 -0.420 120.880 -0.550
201909 -0.027 123.175 -0.035
201912 -0.168 126.235 -0.211
202003 -11.520 124.705 -14.626
202006 0.795 127.000 0.991
202009 -0.148 130.118 -0.180
202012 0.047 130.889 0.057
202103 2.393 131.771 2.875
202106 1.427 134.084 1.685
202109 0.527 135.847 0.614
202112 0.207 138.161 0.237
202203 0.680 138.822 0.776
202206 -1.113 142.347 -1.238
202209 2.387 144.661 2.612
202212 1.480 145.763 1.608
202303 -6.300 146.865 -6.792
202306 0.393 150.280 0.414
202309 0.360 151.492 0.376
202312 3.180 152.924 3.292
202403 -6.857 153.035 -7.094
202406 1.267 155.789 1.288
202409 0.953 157.882 0.956
202412 2.173 158.323 2.173

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


Algoquant Fintech  (BOM:505725) 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.

Algoquant Fintech's Shiller P/E Ratio of today is calculated as

Shiller PE Ratio=Share Price/E10
=877.85/2.47
=355.40

* 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 Algoquant Fintech was 473.78. The lowest was 22.53. And the median was 178.93.


Be Aware

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


Algoquant Fintech E10 Related Terms

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


Algoquant Fintech Business Description

Traded in Other Exchanges
N/A
Address
Asaf Ali Road, 4/11, First Floor, New Delhi, IND, 110002
Algoquant Fintech Ltd is a technology-driven Trading Firm. It offers a business of completely hedged derivatives arbitrage with a high focus on technology development and innovation. The main object of the company is inter alia to carry on business activities of trading in securities/financial instruments.

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