Guidewire Software (GWRE) Operating Expenses (2011 - 2026)
Guidewire Software (GWRE) recorded Operating Expenses of $207.36 million in fiscal Q4 2026 (quarter ended Jul 31, 2026), up 2.5% from $202.21 million a year earlier and up 0.7% from the prior quarter.
Guidewire Software (GWRE) Operating Expenses (2011 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Guidewire Software reported Operating Expenses of $797.49 million, up 12.2% from FY2025.
- Annual Operating Expenses has increased for 16 straight fiscal years, with a five-year compound annual growth rate of 10.0% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $710.99 million in FY2025 (+11.8%), $635.93 million in FY2024 (+4.6%), $607.7 million in FY2023 (+5.4%) and $576.62 million in FY2022 (+16.5%).
- The fiscal Q4 2026 figure is the highest quarterly Operating Expenses in data going back to fiscal Q2 2011.
- On a year-over-year basis, Operating Expenses has increased for 11 consecutive quarters, with growth averaging 12.2% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 23.2% in fiscal Q3 2022, against a decline of 0.4% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $206.01 million (Q3 2026), $193.08 million (Q2 2026) and $191.04 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 49.67 Bn | 7.89 Bn | - | 7.26 Bn |
| 2 | Block | 46.56 Bn | 17.86 Bn | 3.17 Bn | 2.72 Bn |
| 3 | Coinbase Global | 45.63 Bn | 2.44 Bn | - | 1.33 Bn |
| 4 | Corpay | 26.17 Bn | 16.06 Bn | - | 260.40 Mn |
| 5 | Fiserv | 25.31 Bn | 21.98 Bn | 2.90 Bn | 4.28 Bn |
| 6 | Global Payments | 22.57 Bn | 361.32 Mn | 2.03 Bn | 2.98 Bn |
| 7 | Guidewire Software | 14.23 Bn | 10.79 Bn | 269.68 Mn | 207.36 Mn |
| 8 | Bitmine Immersion Technologies | 11.95 Bn | 9.33 Bn | 40.81 Mn | 52.67 Mn |
| 9 | Chime Financial | 11.27 Bn | 7.06 Bn | 594.87 Mn | 573.55 Mn |
| 10 | Jack Henry & Associates | 11.02 Bn | 10.92 Bn | 273.85 Mn | 507.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 207.36 Mn |
| Apr 30, 2026 | 206.01 Mn |
| Jan 31, 2026 | 193.08 Mn |
| Oct 31, 2025 | 191.04 Mn |
| Jul 31, 2025 | 202.21 Mn |
| Apr 30, 2025 | 178.23 Mn |
| Jan 31, 2025 | 167.43 Mn |
| Oct 31, 2024 | 163.11 Mn |
| Jul 31, 2024 | 176.12 Mn |
| Apr 30, 2024 | 158.92 Mn |
| Jan 31, 2024 | 154.82 Mn |
| Oct 31, 2023 | 146.07 Mn |
| Jul 31, 2023 | 157.58 Mn |
| Apr 30, 2023 | 156.73 Mn |
| Jan 31, 2023 | 146.68 Mn |
| Oct 31, 2022 | 146.71 Mn |
| Jul 31, 2022 | 154.88 Mn |
| Apr 30, 2022 | 146.33 Mn |
| Jan 31, 2022 | 141.65 Mn |
| Oct 31, 2021 | 133.77 Mn |
Guidewire Software 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=GWRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GWRE", "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=GWRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();