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Stanpacks (India) (BOM:530931) E10 : ₹0.81 (As of Dec. 2023)


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What is Stanpacks (India) 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.

Stanpacks (India)'s adjusted earnings per share data for the three months ended in Dec. 2023 was ₹-0.260. Add all the adjusted EPS for the past 10 years together and divide 10 will get our e10, which is ₹0.81 for the trailing ten years ended in Dec. 2023.

During the past 12 months, Stanpacks (India)'s average E10 Growth Rate was 145.50% 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 (2024-04-30), Stanpacks (India)'s current stock price is ₹11.00. Stanpacks (India)'s E10 for the quarter that ended in Dec. 2023 was ₹0.81. Stanpacks (India)'s Shiller PE Ratio of today is 13.58.

During the past 13 years, the highest Shiller PE Ratio of Stanpacks (India) was 48.79. The lowest was 9.06. And the median was 14.77.


Stanpacks (India) E10 Historical Data

The historical data trend for Stanpacks (India)'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.

Stanpacks (India) E10 Chart

Stanpacks (India) Annual Data
Trend Mar14 Mar15 Mar16 Mar17 Mar18 Mar19 Mar20 Mar21 Mar22 Mar23
E10
Get a 7-Day Free Trial Premium Member Only Premium Member Only - - -0.61 0.37 0.64

Stanpacks (India) Quarterly Data
Dec18 Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Sep23 Dec23
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 0.33 0.56 0.64 0.82 0.81

Competitive Comparison of Stanpacks (India)'s E10

For the Packaging & Containers subindustry, Stanpacks (India)'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.


Stanpacks (India)'s Shiller PE Ratio Distribution in the Packaging & Containers Industry

For the Packaging & Containers industry and Consumer Cyclical sector, Stanpacks (India)'s Shiller PE Ratio distribution charts can be found below:

* The bar in red indicates where Stanpacks (India)'s Shiller PE Ratio falls into.



Stanpacks (India) 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, Stanpacks (India)'s adjusted earnings per share data for the three months ended in Dec. 2023 was:

Adj_EPS= Earnings per Share (Diluted) /CPI of Dec. 2023 (Change)*Current CPI (Dec. 2023)
=-0.26/153.2548*153.2548
=-0.260

Current CPI (Dec. 2023) = 153.2548.

Stanpacks (India) Quarterly Data

per share eps CPI Adj_EPS
201312 -0.417 91.425 -0.699
201403 0.060 91.425 0.101
201406 0.090 94.103 0.147
201409 0.080 96.780 0.127
201412 0.310 96.780 0.491
201503 -0.580 97.163 -0.915
201506 0.220 99.841 0.338
201509 0.270 101.753 0.407
201512 -0.190 102.901 -0.283
201603 0.340 102.518 0.508
201606 0.230 105.961 0.333
201609 0.080 105.961 0.116
201612 -0.180 105.196 -0.262
201703 0.160 105.196 0.233
201706 0.210 107.109 0.300
201709 0.090 109.021 0.127
201712 -0.080 109.404 -0.112
201803 0.210 109.786 0.293
201806 0.090 111.317 0.124
201809 0.020 115.142 0.027
201812 0.180 115.142 0.240
201903 -0.050 118.202 -0.065
201906 0.050 120.880 0.063
201909 -0.120 123.175 -0.149
201912 0.110 126.235 0.134
202003 0.080 124.705 0.098
202006 -1.080 127.000 -1.303
202009 -0.700 130.118 -0.824
202012 -0.160 130.889 -0.187
202103 -0.280 131.771 -0.326
202106 0.160 134.084 0.183
202109 0.040 135.847 0.045
202112 0.030 138.161 0.033
202203 10.770 138.822 11.890
202206 -0.700 142.347 -0.754
202209 -1.960 144.661 -2.076
202212 0.020 145.763 0.021
202303 -0.090 146.865 -0.094
202309 0.060 151.492 0.061
202312 -0.260 153.255 -0.260

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


Stanpacks (India)  (BOM:530931) 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.

Stanpacks (India)'s Shiller P/E Ratio of today is calculated as

Shiller PE Ratio=Share Price/E10
=11.00/0.81
=13.58

* 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 Stanpacks (India) was 48.79. The lowest was 9.06. And the median was 14.77.


Be Aware

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


Stanpacks (India) E10 Related Terms

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


Stanpacks (India) (BOM:530931) Business Description

Traded in Other Exchanges
N/A
Address
Nowroji Road, Chetpet, S. K. Enclave, New No. 4 (Old No. 47), Chennai, TN, IND, 600031
Stanpacks (India) Ltd is an India based company operating in the packaging industry by manufacturing waterproof packing materials. It operates in the business segment of producing Polypropylene(PP) bags in India. The products of the group include woven sacks, PP kraft paper laminated bags, multi-wall paper bags, hessian rolls bags, poly-coated paper, waterproof paper and wax paper. In addition, the firm also manufactures engineering products such as FIBC filling machines and FIBC discharging machines.

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