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Pagaya Technologies PGY Network AI Fees — Revenue from fees

Other product segments

Financial Service
$32.1M+2.9%

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Other financials

Income statement

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Revenue$317.9M+9.6%
Gross profit$140.4M+14.2%
Operating income$80.0M+67.8%
Net income$24.7M+213%
EPS (diluted)$0.28+180%

Balance sheet

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Cash & equivalents$380.0M+65.5%
Total debt$507.6M+43.8%
Total equity$529.3M+57.8%
Total assets$1.6B+29.0%

Cash flow

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Operating cash flow$43.2M+25.4%
CapEx$3.2M-15.9%
Free cash flow$40.0M+30.5%

Valuation

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Market cap$1.26B-9.9%
Enterprise value$1.39B-8.8%
P/E12.8×
P/S-0.4×

Profitability

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Gross margin42.9%+0.4pp
Operating margin22.3%+12.4pp
Net margin7.4%+4.0pp
FCF margin17.6%

Returns & leverage

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Return on equity22.7%+12.8pp
Debt / equity-0.1×
Current ratio1.4×-0.1×

Where this comes from

Reported directly by Pagaya Technologies in its filing.

Tagged under the XBRL concept us-gaap:RevenueFromContractWithCustomerExcludingAssessedTax.

The official record: Pagaya Technologies’s 10-Q, filed May 7, 2026, on SEC EDGAR. View the filing →

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Questions, answered.

What is Pagaya Technologies's network AI fees — revenue from fees?
Pagaya Technologies (PGY) reported network AI fees — revenue from fees of $266.9M in Q1 2026.
How has Pagaya Technologies's network AI fees — revenue from fees changed year-over-year?
Pagaya Technologies's network AI fees — revenue from fees increased by 6.1% year-over-year, from $251.5M to $266.9M.
What is the long-term trend for Pagaya Technologies's network AI fees — revenue from fees?
Over 4 years (2021 to 2025), Pagaya Technologies's network AI fees — revenue from fees has grown at a 30.7% compound annual growth rate (CAGR), from $387.1M to $1.13B.
What does network AI fees — revenue from fees mean?
This metric represents the total revenue generated from fees earned through the company's proprietary AI-driven credit analysis and lending infrastructure network. It captures the income derived from providing machine learning-based credit assessment services to financial partners and institutional investors within the lending ecosystem. Growth in this metric reflects the successful scaling of the company's technology platform and the increasing volume of credit originations processed through its network.