Opera (OPRA) Operating Expenses (2017 - 2026)
Opera (OPRA) recorded Operating Expenses of -$152.2 million in Q2 2026, compared with -$124.87 million a year earlier.
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Analysis
Opera (OPRA) Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Opera's Operating Expenses came in at -$576.14 million as of Jun 30, 2026; for FY2025, it was -$524.38 million.
- Across earlier years, Operating Expenses came in at -$390.75 million in FY2024, -$334.6 million in FY2023, -$289.7 million in FY2022 and $257.67 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q1 2023.
- Per Business Quant, the preceding three quarters came in at -$146.06 million (Q1 2026), -$148.14 million (Q4 2025) and -$129.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 499.67 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 541.37 Mn |
| 10 | Opera | 1.58 Bn | 857.21 Mn | 114.91 Mn | -152.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -152.20 Mn |
| Mar 31, 2026 | -146.06 Mn |
| Dec 31, 2025 | -148.14 Mn |
| Sep 30, 2025 | -129.74 Mn |
| Jun 30, 2025 | -124.87 Mn |
| Mar 31, 2025 | -121.63 Mn |
| Dec 31, 2024 | -118.36 Mn |
| Sep 30, 2024 | -100.68 Mn |
| Jun 30, 2024 | -89.07 Mn |
| Mar 31, 2024 | -82.64 Mn |
| Dec 31, 2023 | -93.15 Mn |
| Sep 30, 2023 | -86.57 Mn |
| Jun 30, 2023 | -81.65 Mn |
| Mar 31, 2023 | -73.23 Bn |
| Dec 31, 2022 | -84.58 Bn |
| Sep 30, 2022 | -69.25 Bn |
| Jun 30, 2022 | -66.66 Bn |
| Mar 31, 2022 | -70.41 Mn |
| Dec 31, 2021 | -69.09 Mn |
| Sep 30, 2021 | -67.30 Mn |
API Access
Opera 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=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OPRA", "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=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();