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


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What is Pagaya Technologies 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. Pagaya Technologies's Average Total Inventories for the quarter that ended in Dec. 2023 was $0.0 Mil. Pagaya Technologies's Revenue for the three months ended in Dec. 2023 was $210.4 Mil. Pagaya Technologies's Inventory-to-Revenue for the quarter that ended in Dec. 2023 was 0.00.

Pagaya Technologies'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. Pagaya Technologies'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.


Pagaya Technologies Inventory-to-Revenue Historical Data

The historical data trend for Pagaya Technologies'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.

* Premium members only.

Pagaya Technologies Inventory-to-Revenue Chart

Pagaya Technologies Annual Data
Trend Dec20 Dec21 Dec22 Dec23
Inventory-to-Revenue
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Pagaya Technologies Quarterly Data
Dec20 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
Inventory-to-Revenue Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only - - - - -

Competitive Comparison of Pagaya Technologies's Inventory-to-Revenue

For the Software - Infrastructure subindustry, Pagaya Technologies'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.


Pagaya Technologies's Inventory-to-Revenue Distribution in the Software Industry

For the Software industry and Technology sector, Pagaya Technologies's Inventory-to-Revenue distribution charts can be found below:

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



Pagaya Technologies Inventory-to-Revenue Calculation

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.

Pagaya Technologies'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 ) / 772.814
=0 / 772.814
=0.00

Pagaya Technologies'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 ) / 210.428
=0 / 210.428
=0.00

* 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.


Pagaya Technologies  (NAS:PGY) 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.

Pagaya Technologies'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
=0/134.482*365 / 4
=0.00

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

Pagaya Technologies'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 )
=134.482 / 0
=

* 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.


Pagaya Technologies Inventory-to-Revenue Related Terms

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Pagaya Technologies (Pagaya Technologies) Business Description

Traded in Other Exchanges
N/A
Address
Derech Menachem Begin 121, Azrieli Sarona Building, 54th Floor, Tel-Aviv, ISR, 6701203
Pagaya Technologies Ltd is a financial technology company working to reshape the lending marketplace by using machine learning, big data analytics, and sophisticated AI-driven credit and analysis technology. It was built to provide a comprehensive solution to enable the credit industry to deliver customers a positive experience while simultaneously enhancing the broader credit ecosystem. Its proprietary API seamlessly integrates into its next-gen infrastructure network of partners to deliver a premium customer user experience and greater access to credit.