Pagaya Technologies Ltd.

Pagaya Technologies Ltd.

Pagaya Technologies Ltd (PGY) is a financial technology company that applies machine learning and large-scale data analytics to credit and asset allocation. It partners with institutional investors and financial institutions to originate, price and manage consumer credit and other lending assets, often using structured financing or securitisation to access capital markets. Revenue typically comes from asset management fees, servicing and performance-related income rather than traditional bank interest margins. Investors should know Pagaya’s proposition is technology-led: its models aim to improve risk selection and scale loan exposure, but performance depends on model accuracy, data quality and macroeconomic credit conditions. As a smaller-cap fintech (market cap around $2.24bn), PGY can exhibit higher volatility and execution risk compared with established lenders. This is educational information and not personal investment advice — do consider your risk tolerance, the company’s recent results and regulatory environment before making decisions.

Stock Performance Snapshot

Strong Buy

Analyst Rating

Analysts strongly recommend buying Pagaya Technologies' stock with a target price of $40.36, indicating significant growth potential.

Above Average

Financial Health

Pagaya Technologies is achieving strong revenue and cash flow, indicating good financial performance.

Source: Analyst sentiment is provided by Refinitiv Ltd, a global leader in financial market data with over 40k business clients. Refinitiv Ltd is an independent third party to Nemo. This is not advice.

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Why You’ll Want to Watch This Stock

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AI-driven credit insights

Pagaya’s machine-learning models aim to improve credit selection and pricing at scale — a potential growth engine, though outcomes can vary across credit cycles.

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Institutional partnerships

The business relies on relationships with investors and banks to source and finance assets; these partnerships can accelerate growth but add counterparty and funding risk.

Model and cycle risk

Technology helps with efficiency, yet model errors or a deteriorating economy can materially affect returns; diversification and stress testing are important.

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