Company: PGYWW
Filing Date: 2025-11-10
Form Type: 10-Q
Source: 0001883085-25-000195
Chunk: 175

Company: Pagaya Technologies Ltd.
Filing Date: 2025-11-10
Form: 10-Q
Item: Part I, Item 8
Chunk 175
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 and the SEC’s proxy rules, with the exception of the “short-swing” profit recovery provisions of Section 16 of the Exchange Act. Beginning on January 1, 2026, our officers, directors, and principal shareholders will be subject to the “short-swing” profit recovery provisions of Section 16 of the Exchange Act with respect to their purchases and sales of the Ordinary Shares.

Our Economic Model

Pagaya’s revenues are primarily derived from Network Volume. We define Network Volume as the gross dollar value of assets originated by our Partners with the assistance of our artificial intelligence (“AI”) technology1 and, with respect to single-family rental operations, the gross dollar value of services, which may include the value of newly onboarded properties onto our Darwin platform. We generate revenue from network AI fees, contract fees, interest income and investment income. Revenue from fees is comprised of network AI fees and contract fees. Network AI fees can be further broken down into two fee streams: AI integration fees and capital markets execution fees.

We primarily earn AI integration fees for the creation and delivery of the assets that comprise our Network Volume.

Capital markets execution and contract fees are primarily earned from investors. Multiple funding channels are utilized to enable the purchase of network assets from our Partners, such as asset backed securitizations. Capital markets execution fees are primarily earned from the market pricing of ABS transactions while contract fees are management, performance and similar fees.

Additionally, we earn interest income from our risk retention holdings and our corporate cash balances and investment income associated with our ownership interests in certain Financing Vehicles and other proprietary investments.

We incur costs when Network Volume is acquired by the Financing Vehicles. These costs, which we refer to as ‘‘Production Costs,’’ compensate our Partners for acquiring and originating assets. Accordingly, the amount and growth of our Production Costs are highly correlated to Network Volume. An important operating metric to evaluate the success of our economic model, therefore, is FRLPC, or fee revenue less Production Costs.

Additionally, we have built what we believe to be a leading data science and AI organization that has enabled us to assist our Partners as they make decisions to extend credit to consumers or for the identification and purchase, or property management, of single-family rental properties. Excluding Production Costs, headcount, technology overhead and research and development expenses represent the significant portion of our expenses.

Key Factors Affecting Our Performance

Expanded Usage of Our Network by Our Existing Partners 

Our AI technology typically enables Partners to convert a larger proportion of their application volume into originated loans, enabling