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Pagaya Technologies (Pagaya Technologies) Gross-Profit-to-Asset % : 27.38% (As of Mar. 2024)


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What is Pagaya Technologies Gross-Profit-to-Asset %?

Gross-Profit-to-Asset % is calculated as Gross Profit divided by its average Total Assets over a certain period of time. Pagaya Technologies's annualized Gross Profit for the quarter that ended in Mar. 2024 was $368.5 Mil. Pagaya Technologies's average Total Assets over the quarter that ended in Mar. 2024 was $1,345.8 Mil. Therefore, Pagaya Technologies's annualized Gross-Profit-to-Asset % for the quarter that ended in Mar. 2024 was 27.38%.


Pagaya Technologies Gross-Profit-to-Asset % Historical Data

The historical data trend for Pagaya Technologies's Gross-Profit-to-Asset % 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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Pagaya Technologies Gross-Profit-to-Asset % Chart

Pagaya Technologies Annual Data
Trend Dec20 Dec21 Dec22 Dec23
Gross-Profit-to-Asset %
20.88 53.75 28.66 23.42

Pagaya Technologies Quarterly Data
Dec20 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
Gross-Profit-to-Asset % Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 18.88 22.94 24.14 25.02 27.38

Competitive Comparison of Pagaya Technologies's Gross-Profit-to-Asset %

For the Software - Infrastructure subindustry, Pagaya Technologies's Gross-Profit-to-Asset %, along with its competitors' market caps and Gross-Profit-to-Asset % 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 Gross-Profit-to-Asset % Distribution in the Software Industry

For the Software industry and Technology sector, Pagaya Technologies's Gross-Profit-to-Asset % distribution charts can be found below:

* The bar in red indicates where Pagaya Technologies's Gross-Profit-to-Asset % falls into.



Pagaya Technologies Gross-Profit-to-Asset % Calculation

Pagaya Technologies's annualized Gross-Profit-to-Asset % for the fiscal year that ended in Dec. 2023 is calculated as:

Gross-Profit-to-Asset %=Gross Profit (A: Dec. 2023 )/( (Total Assets (A: Dec. 2022 )+Total Assets (A: Dec. 2023 ))/ count )
=263.87/( (1045.079+1208.376)/ 2 )
=263.87/1126.7275
=23.42 %

Pagaya Technologies's annualized Gross-Profit-to-Asset % for the quarter that ended in Mar. 2024 is calculated as:

Gross-Profit-to-Asset %=Gross Profit (Q: Mar. 2024 )/( (Total Assets (Q: Dec. 2023 )+Total Assets (Q: Mar. 2024 ))/ count )
=368.492/( (1208.376+1483.187)/ 2 )
=368.492/1345.7815
=27.38 %

* 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.

In the calculation of annual Gross-Profit-to-Asset %, the Gross Profit of the last fiscal year and the average total assets over the fiscal year are used. In calculating the quarterly data, the Gross Profit data used here is four times the quarterly (Mar. 2024) data. Gross-Profit-to-Asset % is displayed in the 30-year financial page.


Pagaya Technologies Gross-Profit-to-Asset % 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.