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Snowman Logistics (BOM:538635) E10 : ₹0.42 (As of Dec. 2024)


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What is Snowman Logistics 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.

Snowman Logistics's adjusted earnings per share data for the three months ended in Dec. 2024 was ₹-0.050. Add all the adjusted EPS for the past 10 years together and divide 10 will get our e10, which is ₹0.42 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 (2025-03-29), Snowman Logistics's current stock price is ₹44.75. Snowman Logistics's E10 for the quarter that ended in Dec. 2024 was ₹0.42. Snowman Logistics's Shiller PE Ratio of today is 106.55.

During the past 11 years, the highest Shiller PE Ratio of Snowman Logistics was 170.90. The lowest was 73.59. And the median was 147.64.


Snowman Logistics E10 Historical Data

The historical data trend for Snowman Logistics'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.

Snowman Logistics E10 Chart

Snowman Logistics 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 - - - - 0.83

Snowman Logistics 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 - 0.83 0.50 0.48 0.42

Competitive Comparison of Snowman Logistics's E10

For the Integrated Freight & Logistics subindustry, Snowman Logistics'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.


Snowman Logistics's Shiller PE Ratio Distribution in the Transportation Industry

For the Transportation industry and Industrials sector, Snowman Logistics's Shiller PE Ratio distribution charts can be found below:

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


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Snowman Logistics 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, Snowman Logistics'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)
=-0.05/158.3229*158.3229
=-0.050

Current CPI (Dec. 2024) = 158.3229.

Snowman Logistics Quarterly Data

per share eps CPI Adj_EPS
201503 0.930 97.163 1.515
201506 0.330 99.841 0.523
201509 0.180 101.753 0.280
201512 0.270 102.901 0.415
201603 0.450 102.518 0.695
201606 0.110 105.961 0.164
201609 -0.500 105.961 -0.747
201612 -0.120 105.196 -0.181
201703 0.220 105.196 0.331
201706 -0.120 107.109 -0.177
201709 -0.220 109.021 -0.319
201712 0.010 109.404 0.014
201803 0.120 109.786 0.173
201806 0.040 111.317 0.057
201809 0.070 115.142 0.096
201812 0.140 115.142 0.193
201903 0.320 118.202 0.429
201906 -0.540 120.880 -0.707
201909 -0.080 123.175 -0.103
201912 -0.210 126.235 -0.263
202003 -0.070 124.705 -0.089
202006 0.050 127.000 0.062
202009 -0.100 130.118 -0.122
202012 0.090 130.889 0.109
202103 -0.026 131.771 -0.031
202106 0.040 134.084 0.047
202109 0.030 135.847 0.035
202112 0.050 138.161 0.057
202203 -0.010 138.822 -0.011
202206 0.110 142.347 0.122
202209 0.160 144.661 0.175
202212 0.220 145.763 0.239
202303 0.300 146.865 0.323
202306 0.200 150.280 0.211
202309 0.180 151.492 0.188
202312 0.250 152.924 0.259
202403 0.130 153.035 0.134
202406 0.110 155.789 0.112
202409 0.030 157.882 0.030
202412 -0.050 158.323 -0.050

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


Snowman Logistics  (BOM:538635) 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.

Snowman Logistics's Shiller P/E Ratio of today is calculated as

Shiller PE Ratio=Share Price/E10
=44.75/0.42
=106.55

* 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 11 years, the highest Shiller P/E Ratio of Snowman Logistics was 170.90. The lowest was 73.59. And the median was 147.64.


Be Aware

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


Snowman Logistics E10 Related Terms

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


Snowman Logistics Business Description

Traded in Other Exchanges
Address
Prius Platinum, Saket District Centre, Wing B, 4th Floor, Saket, New Delhi, IND, 110017
Snowman Logistics Ltd is an India-based company. It is engaged in providing integrated cold chain solutions. The company operates in four business segments. The warehousing services segment comprises of temperature-controlled warehousing services operating across locations servicing customers on a pan-India basis. The transportation services segment generally facilitates inter-city transport of products and includes door-to-door service. The consignment agency services segment provides retail distribution through a consignment agency model for customers and Trading and distribution. The warehousing services segment generate maximum revenue for the company.

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