Paymentus Holdings (PAY) Operating Expenses (2020 - 2026)
Paymentus Holdings (PAY) reported Operating Expenses of $61.69 million for Q2 2026, up 11.0% from $55.56 million a year earlier and up 3.4% from the prior quarter.
Paymentus Holdings (PAY) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Paymentus Holdings' Operating Expenses came in at $236.28 million, up 14.5% year-over-year; for FY2025, it was $220.8 million, up 14.2% from FY2024.
- Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 24.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $193.31 million in FY2024 (+17.7%), $164.25 million in FY2023 (+7.6%), $152.65 million in FY2022 (+37.5%) and $111.01 million in FY2021 (+49.6%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q2 2020.
- Year over year, Operating Expenses has now increased in each of the last 21 quarters, with growth averaging 16.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 1.9% (Q4 2023) to 60.2% (Q4 2021).
- Per Business Quant data, the three quarters before Q2 2026 came in at $59.68 million (Q1 2026), $59.92 million (Q4 2025) and $54.99 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 | Paymentus Holdings | 3.77 Bn | 2.44 Bn | 94.31 Mn | 61.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.69 Mn |
| Mar 31, 2026 | 59.68 Mn |
| Dec 31, 2025 | 59.92 Mn |
| Sep 30, 2025 | 54.99 Mn |
| Jun 30, 2025 | 55.56 Mn |
| Mar 31, 2025 | 50.34 Mn |
| Dec 31, 2024 | 51.84 Mn |
| Sep 30, 2024 | 48.58 Mn |
| Jun 30, 2024 | 48.52 Mn |
| Mar 31, 2024 | 44.38 Mn |
| Dec 31, 2023 | 40.35 Mn |
| Sep 30, 2023 | 41.60 Mn |
| Jun 30, 2023 | 41.24 Mn |
| Mar 31, 2023 | 41.06 Mn |
| Dec 31, 2022 | 39.60 Mn |
| Sep 30, 2022 | 38.77 Mn |
| Jun 30, 2022 | 38.05 Mn |
| Mar 31, 2022 | 36.23 Mn |
| Dec 31, 2021 | 33.43 Mn |
| Sep 30, 2021 | 30.04 Mn |
Paymentus Holdings 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=PAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PAY", "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=PAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();