Pagaya Technologies (PGY) Operating Expenses (2022 - 2026)
Pagaya Technologies' Operating Expenses came in at $281.24 million for Q2 2026, up 4.2% from $269.93 million a year earlier and up 18.2% from the prior quarter.
Pagaya Technologies (PGY) Operating Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pagaya Technologies reported Operating Expenses of $1.04 billion, up 5.0% year-over-year; for FY2025, it was $1.04 billion, up 7.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 67.9% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $965.41 million in FY2024 (+15.4%), $836.45 million in FY2023 (-16.4%), $1 billion in FY2022 (+108.3%) and $480.4 million in FY2021 (+517.8%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q2 2022.
- Year-over-year, Operating Expenses increased in seven of the last eight quarters, with growth averaging 7.9%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2024 (growth of 19.4%), and the weakest in Q2 2023 (a decline of 38.0%).
- Business Quant data shows PGY's Operating Expenses at $237.94 million (Q1 2026), $255.09 million (Q4 2025) and $270.21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.12 Bn | 6.93 Bn | - | 1.33 Bn |
| 2 | PayPal Holdings | 46.45 Bn | 4.68 Bn | - | 7.26 Bn |
| 3 | Block | 44.49 Bn | 15.75 Bn | 3.17 Bn | 2.72 Bn |
| 4 | Iren | 31.49 Bn | 19.08 Bn | 103.89 Mn | 128.25 Mn |
| 5 | Corpay | 25.78 Bn | 15.98 Bn | - | 260.40 Mn |
| 6 | Fiserv | 24.12 Bn | 20.82 Bn | 2.90 Bn | 4.28 Bn |
| 7 | Global Payments | 22.15 Bn | 588.57 Mn | 2.03 Bn | 2.98 Bn |
| 8 | Bitmine Immersion Technologies | 15.50 Bn | 12.88 Bn | 40.81 Mn | 52.67 Mn |
| 9 | Guidewire Software | 11.68 Bn | 8.25 Bn | 269.68 Mn | 207.36 Mn |
| 10 | Pagaya Technologies | 1.45 Bn | 481.46 Mn | 168.33 Mn | 281.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 281.24 Mn |
| Mar 31, 2026 | 237.94 Mn |
| Dec 31, 2025 | 255.09 Mn |
| Sep 30, 2025 | 270.21 Mn |
| Jun 30, 2025 | 269.93 Mn |
| Mar 31, 2025 | 242.30 Mn |
| Dec 31, 2024 | 247.66 Mn |
| Sep 30, 2024 | 234.85 Mn |
| Jun 30, 2024 | 245.32 Mn |
| Mar 31, 2024 | 237.59 Mn |
| Dec 31, 2023 | 207.39 Mn |
| Sep 30, 2023 | 211.60 Mn |
| Jun 30, 2023 | 205.85 Mn |
| Mar 31, 2023 | 211.61 Mn |
| Jun 30, 2022 | 332.17 Mn |
Pagaya Technologies Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=PGY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PGY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=PGY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();