Tan Pok Hsuan
$PGY (Pagaya Technologies Ltd) (Pagaya Technologies Ltd) may be undervalued now. Company Overview Pagaya Technologies Ltd. (NASDAQ: PGY) is an AI-driven fintech company founded in 2016, headquartered in New York with operations in Israel. It provides machine learning-based solutions for lending, connecting over 31 partners with 150+ institutional investors to facilitate credit decisions in areas like personal loans, auto finance, and point-of-sale products. Recent Performance and 2025 Guidance In 2025, Pagaya achieved record results: Q2 network volume hit $2.6B (up 14% YoY), revenue $250M (up 31%), adjusted EBITDA $86M, and GAAP net income $17M. Q1 also turned profitable early with $8M net income. Full-year guidance was raised to $11B–$12B network volume, $1.25B–$1.325B revenue, and $240M–$280M adjusted EBITDA. Stock surged 247% YTD to ~$27.70 as of Oct 16, 2025, outperforming the S&P 500. Key Strategies for Growth Growth focuses on AI platform scaling: expanding partnerships (e.g., with major banks like Citizens, TD, Wells Fargo), diversifying into auto and POS lending, maintaining a low-risk balance sheet model (4-5% net fees), and improving efficiency to cut defaults and costs. Earnings projected to grow 195% in 2025 and 28% in 2026. Challenges and Risks Despite momentum, stock dropped 29% in the last 30 days due to market volatility. Risks include interest rate fluctuations, economic slowdowns raising defaults, partner/investor dependence, regulatory scrutiny, non-cash earnings impacts, and fintech competition. Q3 earnings on Nov 10, 2025, will provide updates. Valuation At $27.70/share and $2.1B market cap, PGY trades at 2.2x forward sales and 10x forward EBITDA—below peers—indicating undervaluation. Analysts rate Strong Buy with $37.13 average target (34% upside), supported by recent raises post-Q2. Overall Summary Pagaya presents a strong investment opportunity in AI fintech, with robust 2025 growth, raised guidance, and undervalued shares amid volatility. Long-term potential in profitability and innovation outweighs risks, making it appealing for AI-financial exposure.
Not investment advice. The author may have financial interests in the mentioned instruments.
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