Opera (OPRA) Revenue (2017 - 2026)
Opera (OPRA) reported Revenue of $178.07 million for Q2 2026, up 24.6% from $142.96 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Opera (OPRA) Revenue (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Opera's Revenue came in at $682.99 million, up 23.1% year-over-year; for FY2025, it came in at $614.83 million, up 27.9% from FY2024.
- Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 30.1% (FY2020 to FY2025).
- By year, Revenue came in at $480.65 million in FY2024 (+21.1%), $396.83 million in FY2023 (+19.9%), $331.04 million in FY2022 (+31.9%) and $250.99 million in FY2021 (+52.1%).
- The Q2 2026 figure ranks as the highest quarterly Revenue in data going back to Q2 2017.
- Year over year, Revenue has now increased in each of the last 23 quarters, with growth averaging 26.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 16.6% in Q2 2024 to 57.1% in Q3 2021.
- Per Business Quant data, the three quarters before Q2 2026 came in at $175.77 million (Q1 2026), $177.21 million (Q4 2025) and $151.94 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 3.41 Bn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 1.47 Bn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 2.05 Bn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | 1.55 Bn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 1.12 Bn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 805.00 Mn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 904.39 Mn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 771.77 Mn |
| 10 | Opera | 1.58 Bn | 854.52 Mn | 114.91 Mn | 178.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 178.07 Mn |
| Mar 31, 2026 | 175.77 Mn |
| Dec 31, 2025 | 177.21 Mn |
| Sep 30, 2025 | 151.94 Mn |
| Jun 30, 2025 | 142.96 Mn |
| Mar 31, 2025 | 142.72 Mn |
| Dec 31, 2024 | 145.83 Mn |
| Sep 30, 2024 | 123.21 Mn |
| Jun 30, 2024 | 109.73 Mn |
| Mar 31, 2024 | 101.87 Mn |
| Dec 31, 2023 | 113.00 Mn |
| Sep 30, 2023 | 102.64 Mn |
| Jun 30, 2023 | 94.13 Mn |
| Mar 31, 2023 | 87.05 Mn |
| Dec 31, 2022 | 96.27 Mn |
| Sep 30, 2022 | 85.35 Mn |
| Jun 30, 2022 | 77.83 Mn |
| Mar 31, 2022 | 71.58 Mn |
| Dec 31, 2021 | 72.63 Mn |
| Sep 30, 2021 | 66.62 Mn |
API Access
Opera Revenue 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=revenue&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();