Paysafe (PSFE) Operating Expenses (2020 - 2026)
Paysafe (PSFE) posted Operating Expenses of $187.61 million for Q2 2026, up 25.3% from $149.71 million a year earlier and up 5.6% from the prior quarter.
Paysafe (PSFE) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Paysafe was $680.04 million, up 16.9% year-over-year; for FY2025, it was $621.63 million, up 5.5% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- In prior years, Paysafe's Operating Expenses was $589.2 million in FY2024 (+12.9%), $521.98 million in FY2023 (-13.7%), $605.14 million in FY2022 (+4.3%) and $580.16 million in FY2021 (+15.8%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q1 2021.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 12.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 50.0%; the weakest was Q1 2022, with a decline of 27.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $177.71 million (Q1 2026), $171.92 million (Q4 2025) and $142.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | 1.33 Bn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 7.26 Bn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 2.72 Bn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 128.25 Mn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 260.40 Mn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 4.28 Bn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 2.98 Bn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 52.67 Mn |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 207.36 Mn |
| 10 | Paysafe | 311.61 Mn | -674.18 Mn | 243.77 Mn | 187.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 187.61 Mn |
| Mar 31, 2026 | 177.71 Mn |
| Dec 31, 2025 | 171.92 Mn |
| Sep 30, 2025 | 142.80 Mn |
| Jun 30, 2025 | 149.71 Mn |
| Mar 31, 2025 | 147.58 Mn |
| Dec 31, 2024 | 140.44 Mn |
| Sep 30, 2024 | 144.25 Mn |
| Jun 30, 2024 | 150.79 Mn |
| Mar 31, 2024 | 145.26 Mn |
| Dec 31, 2023 | 126.93 Mn |
| Sep 30, 2023 | 122.03 Mn |
| Jun 30, 2023 | 134.94 Mn |
| Mar 31, 2023 | 130.30 Mn |
| Dec 31, 2022 | 140.48 Mn |
| Sep 30, 2022 | 138.69 Mn |
| Jun 30, 2022 | 176.31 Mn |
| Mar 31, 2022 | 143.16 Mn |
| Dec 31, 2021 | 130.59 Mn |
| Sep 30, 2021 | 125.87 Mn |
Paysafe 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=PSFE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PSFE", "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=PSFE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();