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Swagtam Trading & Services (BOM:539406) E10 : ₹0.41 (As of Dec. 2024)


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What is Swagtam Trading & Services 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.

Swagtam Trading & Services's adjusted earnings per share data for the three months ended in Dec. 2024 was ₹0.230. Add all the adjusted EPS for the past 10 years together and divide 10 will get our e10, which is ₹0.41 for the trailing ten years ended in Dec. 2024.

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 (2025-03-15), Swagtam Trading & Services's current stock price is ₹54.57. Swagtam Trading & Services's E10 for the quarter that ended in Dec. 2024 was ₹0.41. Swagtam Trading & Services's Shiller PE Ratio of today is 133.10.

During the past 10 years, the highest Shiller PE Ratio of Swagtam Trading & Services was 193.44. The lowest was 107.04. And the median was 157.14.


Swagtam Trading & Services E10 Historical Data

The historical data trend for Swagtam Trading & Services'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.

Swagtam Trading & Services E10 Chart

Swagtam Trading & Services 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 - - - - -

Swagtam Trading & Services 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 - - - 0.47 0.41

Competitive Comparison of Swagtam Trading & Services's E10

For the Real Estate Services subindustry, Swagtam Trading & Services'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.


Swagtam Trading & Services's Shiller PE Ratio Distribution in the Real Estate Industry

For the Real Estate industry and Real Estate sector, Swagtam Trading & Services's Shiller PE Ratio distribution charts can be found below:

* The bar in red indicates where Swagtam Trading & Services's Shiller PE Ratio falls into.



Swagtam Trading & Services 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, Swagtam Trading & Services'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)
=0.23/159.2043*159.2043
=0.230

Current CPI (Dec. 2024) = 159.2043.

Swagtam Trading & Services Quarterly Data

per share eps CPI Adj_EPS
201503 -0.081 97.163 -0.133
201506 -0.292 99.841 -0.466
201509 0.208 101.753 0.325
201512 0.123 102.901 0.190
201603 0.031 102.518 0.048
201606 -0.500 105.961 -0.751
201609 0.510 105.961 0.766
201612 -0.260 105.196 -0.393
201703 0.420 105.196 0.636
201706 0.120 107.109 0.178
201709 0.130 109.021 0.190
201712 0.090 109.404 0.131
201803 -0.200 109.786 -0.290
201806 -0.030 111.317 -0.043
201809 0.030 115.142 0.041
201812 0.310 115.142 0.429
201903 -0.230 118.202 -0.310
201906 -0.160 120.880 -0.211
201909 -0.050 123.175 -0.065
201912 -0.110 126.235 -0.139
202003 0.310 124.705 0.396
202006 0.020 127.000 0.025
202009 -0.100 130.118 -0.122
202012 0.010 130.889 0.012
202103 -0.120 131.771 -0.145
202106 0.130 134.084 0.154
202109 1.270 135.847 1.488
202112 -0.090 138.161 -0.104
202203 -0.240 138.822 -0.275
202206 0.460 142.347 0.514
202209 0.500 144.661 0.550
202212 0.350 145.763 0.382
202303 -0.130 146.865 -0.141
202306 0.240 150.280 0.254
202309 0.140 151.492 0.147
202312 0.120 152.924 0.125
202403 0.450 153.035 0.468
202406 -0.170 155.789 -0.174
202409 0.180 157.882 0.182
202412 0.230 159.204 0.230

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


Swagtam Trading & Services  (BOM:539406) 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.

Swagtam Trading & Services's Shiller P/E Ratio of today is calculated as

Shiller PE Ratio=Share Price/E10
=54.57/0.41
=133.10

* 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 10 years, the highest Shiller P/E Ratio of Swagtam Trading & Services was 193.44. The lowest was 107.04. And the median was 157.14.


Be Aware

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


Swagtam Trading & Services E10 Related Terms

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


Swagtam Trading & Services Business Description

Traded in Other Exchanges
N/A
Address
R-489, GF-A, Ground Floor, New Rajinder Nagar, New Delhi, IND, 110060
Swagtam Trading & Services Ltd offer real estate services. It provides real estate project management, support, commercial housekeeping, commission agents, brokers, service providers, the sale of flats, plots, farms and commercial space, trading/ purchase & sale of jewellery, commodities, bullion, and investment services. The company has operations only in India. The company generates its revenue from sale of jewellery.

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