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ContextLogic (ContextLogic) Earnings Yield (Joel Greenblatt) %

: 140.85% (As of Dec. 2023)
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ContextLogic's Enterprise Value for the quarter that ended in Dec. 2023 was $-231.8 Mil. ContextLogic's EBIT for the trailing twelve months (TTM) ended in Dec. 2023 was $-328.0 Mil. ContextLogic's Earnings Yield (Joel Greenblatt) for the quarter that ended in Dec. 2023 was 140.85%.

The historical rank and industry rank for ContextLogic's Earnings Yield (Joel Greenblatt) % or its related term are showing as below:

WISH' s Earnings Yield (Joel Greenblatt) % Range Over the Past 10 Years
Min: -2392.65   Med: -0.28   Max: 382.13
Current: 138.89

During the past 7 years, the highest Earnings Yield (Joel Greenblatt) of ContextLogic was 382.13%. The lowest was -2392.65%. And the median was -0.28%.

WISH's Earnings Yield (Joel Greenblatt) % is not ranked
in the Retail - Cyclical industry.
Industry Median: 4.79 vs WISH: 138.89

Joel Greenblatt's definition of earnings yield has the same problems the regular earnings yield does. It does not consider the growth of the company. It only looks at one-year's business operation. For cyclical companies, the earnings yield is usually highest at the peak of the business cycle. But these earnings are rarely sustainable.

A better indicator of the attractiveness of an investment which takes growth into account is the Forward Rate of Return (Yacktman) %. ContextLogic's Forward Rate of Return (Yacktman) % for the quarter that ended in Dec. 2023 was 0.00%. The Forward Rate of Return uses the normalized Free Cash Flow of the past seven years, and considers growth. The forward rate of return can be thought of as the return that investors buying the stock today can expect from it in the future.


ContextLogic Earnings Yield (Joel Greenblatt) % Historical Data

The historical data trend for ContextLogic's Earnings Yield (Joel Greenblatt) % 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.

ContextLogic Annual Data
Trend Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Earnings Yield (Joel Greenblatt) %
Premium Member Only Premium Member Only - -0.95 -5.42 108.70 140.85

ContextLogic Quarterly Data
Dec17 Dec18 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
Earnings Yield (Joel Greenblatt) % 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 Premium Member Only Premium Member Only Premium Member Only 108.70 140.85 114.94 112.36 140.85

Competitive Comparison

For the Internet Retail subindustry, ContextLogic's Earnings Yield (Joel Greenblatt) %, along with its competitors' market caps and Earnings Yield (Joel Greenblatt) % 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.


ContextLogic Earnings Yield (Joel Greenblatt) % Distribution

For the Retail - Cyclical industry and Consumer Cyclical sector, ContextLogic's Earnings Yield (Joel Greenblatt) % distribution charts can be found below:

* The bar in red indicates where ContextLogic's Earnings Yield (Joel Greenblatt) % falls into.



ContextLogic Earnings Yield (Joel Greenblatt) % Calculation

In his book, The Little That Beat the Market, hedge fund manager Joel Greenblatt defines Earnings Yield as operating income divided by enterprise value.

ContextLogics Earnings Yield (Joel Greenblatt) for the fiscal year that ended in Dec. 2023 is calculated as

Earnings Yield (Joel Greenblatt)=EBIT/Enterprise Value
=-328/-231.83745
=141.48 %

ContextLogic's EBIT for the trailing twelve months (TTM) ended in Dec. 2023 adds up the quarterly data reported by the company within the most recent 12 months, which was $-328.0 Mil.



ContextLogic  (NAS:WISH) Earnings Yield (Joel Greenblatt) % Explanation

Joel Greenblatt defines the earnings yield using the above equation because it more accurately reflects the company's profitability relative to its stock price. Items like interest payment and tax etc. are not directly related to the company's operational profitability.

Enterprise Value instead of market cap (share price) is used in the calculation because it is the real price stock and bond investors together pay for the company.


Be Aware

Joel Greenblatt's definition of earnings yield has the same problems the regular earnings yield does. It does not consider the growth of the company. It only looks at one-year's business operation. For cyclical companies, the earnings yield is usually highest at the peak of the business cycle. But these earnings are rarely sustainable.

Forward Rate of Return (Yacktman) % based on Don Yacktman's definition is a better measure of the expected rate of return for a stock.


ContextLogic Earnings Yield (Joel Greenblatt) % Related Terms

Thank you for viewing the detailed overview of ContextLogic's Earnings Yield (Joel Greenblatt) % provided by GuruFocus.com. Please click on the following links to see related term pages.


ContextLogic (ContextLogic) Business Description

Traded in Other Exchanges
Address
One Sansome Street, 33rd Floor, San Francisco, CA, USA, 94104
ContextLogic Inc is an online shopping store. The store provides personalized products, clothing products, accessories, gaming products and equipment, cosmetics, plastic products, mobile covers, and other products. Geographically, it derives a majority of revenue from Europe and also has a presence in North America; South America, and other countries.
Executives
Jerry Louis officer: Chief Technology Officer ONE SANSOME STREET, 33RD FLOOR, SAN FRANCISCO CA 94104
Stephanie Tilenius director C/O IRONPLANET, INC., 4695 CHABOT DRIVE, SUITE 102, PLEASANTON CA 94588
Mauricio Monico officer: Chief Product Officer ONE SANSOME STREET 33RD FLOOR, SAN FRANCISCO CA 94104
Jun Yan officer: CEO ONE SANSOME STREET, 33RD FLOOR, SAN FRANCISCO CA 94104
Ying Vivian Liu officer: CFO and COO ONE SANSOME STREET 33RD FLOOR, SAN FRANCISCO CA 94104
Lawrence M Kutscher director ONE DIAMOND HILL RD, MURRAY HILL NJ 07974
Brett Just officer: SVP, Finance ONE SANSOME STREET 40TH FLOOR, SAN FRANCISCO CA 94104
Shuyan (rachel) Wang officer: Head of Data Science ONE SANSOME STREET 33RD FLOOR, SAN FRANCISCO CA 94104
Tarun Kumar Jain officer: Chief Product Officer ONE SANSOME STREET 40TH FLOOR, SAN FRANCISCO CA 94104
Vijay Talwar director, officer: Chief Executive Officer 705 FIFTH AVENUE SOUTH, SUITE 900, SEATTLE WA 98104
Piotr Szulczewski director, 10 percent owner, officer: Founder, CEO, and Chairperson ONE SANSOME STREET 40TH FLOOR, SAN FRANCISCO CA 94104
Hans Tung director 3000 SAND HILL ROAD, BUILDING 4, SUITE 230, MENLO PARK CA 94025
Pai Liu officer: Vice President of Data Science ONE SANSOME STREET 40TH FLOOR, SAN FRANCISCO CA 94104
Devang Shah officer: General Counsel and Secretary 699 8TH STREET, SAN FRANCISCO CA 94103
Hamid Reza Kassaei officer: Chief Technology Officer ONE SANSOME STREET 40TH FLOOR, SAN FRANCISCO CA 94104