Opera (OPRA) Operating Income (2017 - 2026)
Opera's Operating Income came in at $25.91 million for Q2 2026, up 43.1% from $18.11 million a year earlier but down 12.9% from the prior quarter.
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Analysis
Opera (OPRA) Operating Income (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Opera reported Operating Income of $106.56 million, up 18.5% year-over-year; for FY2025, it came in at $90.07 million, down 2.4% from FY2024.
- Going back by year, Operating Income was $92.26 million in FY2024 (+46.7%), $62.89 million in FY2023 (+50.4%), $41.81 million in FY2022 and -$6.21 million in FY2021.
- The five-year range for quarterly Operating Income is -$618,000 (Q3 2021) to $16.18 billion (Q3 2022).
- Year-over-year, Operating Income has increased for three consecutive quarters, with growth averaging 19.3% over the last eight quarters.
- The fastest year-over-year change in Operating Income over five years came in Q2 2024 (growth of 75.1%), and the weakest in Q3 2023 (a decline of 99.9%).
- Business Quant data shows OPRA's Operating Income at $29.76 million (Q1 2026), $28.51 million (Q4 2025) and $22.38 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 172.00 Mn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | -33.23 Mn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 689.30 Mn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | -262.97 Mn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 5.46 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 107.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 46.78 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 28.40 Mn |
| 10 | Opera | 1.58 Bn | 857.21 Mn | 114.91 Mn | 25.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.91 Mn |
| Mar 31, 2026 | 29.76 Mn |
| Dec 31, 2025 | 28.51 Mn |
| Sep 30, 2025 | 22.38 Mn |
| Jun 30, 2025 | 18.11 Mn |
| Mar 31, 2025 | 21.08 Mn |
| Dec 31, 2024 | 27.56 Mn |
| Sep 30, 2024 | 23.19 Mn |
| Jun 30, 2024 | 21.94 Mn |
| Mar 31, 2024 | 19.58 Mn |
| Dec 31, 2023 | 20.33 Mn |
| Sep 30, 2023 | 16.08 Mn |
| Jun 30, 2023 | 12.54 Mn |
| Mar 31, 2023 | 13.95 Bn |
| Dec 31, 2022 | 11.84 Bn |
| Sep 30, 2022 | 16.18 Bn |
| Jun 30, 2022 | 11.24 Bn |
| Mar 31, 2022 | 1.34 Mn |
| Dec 31, 2021 | 3.78 Mn |
| Sep 30, 2021 | -618,000.00 |
API Access
Opera Operating Income 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-income&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();