ContextLogic (ContextLogic) Inventory-to-Revenue : 0.00 (As of Dec. 2023)

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What is ContextLogic Inventory-to-Revenue?

Inventory-to-Revenue determines the ability of a company to manage their inventory levels. It measures the percentage of Inventories the company currently has on hand to support the current amount of Revenue. ContextLogic's Average Total Inventories for the quarter that ended in Dec. 2023 was $0.0 Mil. ContextLogic's Revenue for the three months ended in Dec. 2023 was $53.0 Mil. ContextLogic's Inventory-to-Revenue for the quarter that ended in Dec. 2023 was 0.00.

ContextLogic's Inventory-to-Revenue for the quarter that ended in Dec. 2023 stayed the same from Sep. 2023 (0.00) to Sep. 2023 (0.00)

Days Inventory indicates the number of days of goods in sales that a company has in the inventory. ContextLogic's Days Inventory for the three months ended in Dec. 2023 was 0.00.

Inventory Turnover measures how fast the company turns over its inventory within a year.

ContextLogic Inventory-to-Revenue Historical Data

The historical data trend for ContextLogic's Inventory-to-Revenue 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.

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ContextLogic Inventory-to-Revenue Chart

ContextLogic Annual Data

Trend

Dec17

Dec18

Dec19

Dec20

Dec21

Dec22

Dec23

Inventory-to-Revenue

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ContextLogic Quarterly Data
	Dec17	Dec18	Sep19	Dec19	Mar20	Jun20	Sep20	Dec20	Mar21	Jun21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23
Inventory-to-Revenue	Get a 7-Day Free Trial															-	-	-	-	-

Competitive Comparison of ContextLogic's Inventory-to-Revenue

For the Internet Retail subindustry, ContextLogic's Inventory-to-Revenue, along with its competitors' market caps and Inventory-to-Revenue 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's Inventory-to-Revenue Distribution in the Retail - Cyclical Industry

For the Retail - Cyclical industry and Consumer Cyclical sector, ContextLogic's Inventory-to-Revenue distribution charts can be found below:

* The bar in red indicates where ContextLogic's Inventory-to-Revenue falls into.

ContextLogic Inventory-to-Revenue Calculation

ContextLogic's Inventory-to-Revenue for the fiscal year that ended in Dec. 2023 is calculated as

	Inventory-to-Revenue (A: Dec. 2023 )
=	Average Total Inventories					/	Revenue
=	( (Total Inventories (A: Dec. 2022 )	+	Total Inventories (A: Dec. 2023 ))	/	count )	/	Revenue (A: Dec. 2023 )
=	( (0	+	0)	/	1 )	/	287
=	0					/	287
=	0.00

ContextLogic's Inventory-to-Revenue for the quarter that ended in Dec. 2023 is calculated as

	Inventory-to-Revenue (Q: Dec. 2023 )
=	Average Total Inventories					/	Revenue
=	( (Total Inventories (Q: Sep. 2023 )	+	Total Inventories (Q: Dec. 2023 ))	/	count )	/	Revenue (Q: Dec. 2023 )
=	( (0	+	0)	/	1 )	/	53
=	0					/	53
=	0.00

ContextLogic (NAS:WISH) Inventory-to-Revenue Explanation

An increase in Inventory-to-Revenue from one quarter to the next indicates that one of the following is happening:

1. investment in inventory is growing more rapidly than revenue
2. revenue are dropping
No matter which situation is causing the problem, an increase in the Inventory-to-Revenue may signal an oncoming cash flow problem.

Likewise, a decrease in the Inventory-to-Revenue from one quarter to next indicates that one of these is occurring:

1. investment in inventory is shrinking in relation to revenue
2. revenue are increasing
No matter which situation is causing the reduction in the Inventory-to-Revenue, either one suggests that business's inventory levels and its cash flow are effectively managed.

More Related Terms:

1. Days Inventory indicates the number of days of goods in sales that a company has in the inventory.

ContextLogic's Days Inventory for the three months ended in Dec. 2023 is calculated as:

Days Inventory	=	Average Total Inventories (Q: Dec. 2023 )	/	Cost of Goods Sold (Q: Dec. 2023 )	*	Days in Period
	=	0	/	44	*	365 / 4
	=	0.00

2. Inventory Turnover measures how fast the company turns over its inventory within a year.

ContextLogic's Inventory Turnover for the quarter that ended in Dec. 2023 is calculated as

Inventory Turnover	=	Cost of Goods Sold (Q: Dec. 2023 )	/	Average Total Inventories (Q: Dec. 2023 )
	=	44	/	0
	=

ContextLogic Inventory-to-Revenue Related Terms

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ContextLogic (ContextLogic) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Consumer Cyclical » Retail - Cyclical » ContextLogic Inc (NAS:WISH) » Definitions » Inventory-to-Revenue

Comparable Companies

Traded in Other Exchanges

WISH:Mexico 5ZZ0:Germany 5ZZ0:Germany

Address

One Sansome Street, 33rd Floor, San Francisco, CA, USA, 94104

Website

https://www.wish.com

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