Gorilla Technology (GRRR) Operating Expenses (2022 - 2026)
Gorilla Technology (GRRR) reported Operating Expenses of -$4.01 million for Q2 2026, compared with -$11.94 million a year earlier.
Gorilla Technology (GRRR) Operating Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Gorilla Technology's Operating Expenses came in at -$76.05 million; for FY2025, it was -$47.54 million.
- By year, Operating Expenses came in at -$104.25 million in FY2024, -$27.66 million in FY2023, -$94.84 million in FY2022 and -$23.93 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q2 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$47.01 million (Q1 2026), -$15.57 million (Q4 2025) and -$9.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 246.93 Bn | 232.00 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 234.18 Bn | 214.58 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Snowflake | 103.91 Bn | 91.22 Bn | 1.04 Bn | 1.30 Bn |
| 4 | Fortinet | 90.88 Bn | 75.13 Bn | 1.64 Bn | 936.60 Mn |
| 5 | Datadog | 65.40 Bn | 45.94 Bn | 959.92 Mn | 885.22 Mn |
| 6 | Okta | 31.82 Bn | 21.91 Bn | 641.00 Mn | 534.00 Mn |
| 7 | Zscaler | 31.77 Bn | 17.92 Bn | 689.22 Mn | 704.71 Mn |
| 8 | MongoDB | 27.02 Bn | 17.49 Bn | 569.77 Mn | 541.37 Mn |
| 9 | Axon Enterprise | 24.20 Bn | 18.73 Bn | 546.45 Mn | 499.67 Mn |
| 10 | Gorilla Technology | 166.21 Mn | 23.65 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.01 Mn |
| Mar 31, 2026 | 47.01 Mn |
| Dec 31, 2025 | 15.57 Mn |
| Sep 30, 2025 | 9.45 Mn |
| Jun 30, 2025 | 11.94 Mn |
| Mar 31, 2025 | 10.58 Mn |
| Dec 31, 2024 | 72.84 Mn |
| Sep 30, 2024 | 15.51 Mn |
| Jun 30, 2024 | -2.96 Mn |
| Mar 31, 2024 | 18.86 Mn |
| Dec 31, 2023 | 7.85 Mn |
| Sep 30, 2023 | 9.34 Mn |
| Dec 31, 2022 | 4.66 Mn |
| Sep 30, 2022 | 77.79 Mn |
Gorilla Technology 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=GRRR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GRRR", "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=GRRR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();