Q2 Holdings (QTWO) Operating Expenses (2013 - 2026)
Q2 Holdings' Operating Expenses was $100.86 million in Q2 2026, up 6.5% from $94.72 million a year earlier and up 0.6% from the prior quarter.
Q2 Holdings (QTWO) Operating Expenses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Q2 Holdings' Operating Expenses was $397.35 million through Jun 30, 2026, up 1.0% year-over-year; for FY2025, it was $389.79 million, down 1.8% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $396.74 million in FY2024 (+2.1%), $388.71 million in FY2023 (+7.6%), $361.11 million in FY2022 (+19.2%) and $303.03 million in FY2021 (+10.4%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q3 2024.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 0.5% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2022 (growth of 28.1%); the worst was Q2 2025 (a decline of 5.8%).
- Per Business Quant data, QTWO's Operating Expenses in the three quarters before Q2 2026 was $100.23 million (Q1 2026), $98.42 million (Q4 2025) and $97.84 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 | Q2 Holdings | 3.44 Bn | 1.95 Bn | 130.20 Mn | 100.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.86 Mn |
| Mar 31, 2026 | 100.23 Mn |
| Dec 31, 2025 | 98.42 Mn |
| Sep 30, 2025 | 97.84 Mn |
| Jun 30, 2025 | 94.72 Mn |
| Mar 31, 2025 | 98.80 Mn |
| Dec 31, 2024 | 97.92 Mn |
| Sep 30, 2024 | 101.86 Mn |
| Jun 30, 2024 | 100.53 Mn |
| Mar 31, 2024 | 96.44 Mn |
| Dec 31, 2023 | 99.41 Mn |
| Sep 30, 2023 | 97.31 Mn |
| Jun 30, 2023 | 97.50 Mn |
| Mar 31, 2023 | 94.50 Mn |
| Dec 31, 2022 | 98.69 Mn |
| Sep 30, 2022 | 93.95 Mn |
| Jun 30, 2022 | 86.67 Mn |
| Mar 31, 2022 | 81.80 Mn |
| Dec 31, 2021 | 77.05 Mn |
| Sep 30, 2021 | 79.98 Mn |
Q2 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=QTWO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "QTWO", "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=QTWO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();