Opera (OPRA) Income from Continuing Operations (2016 - 2026)
Opera's Income from Continuing Operations was $39.83 million in Q2 2026, up 100.6% from $19.85 million a year earlier and up 13.8% from the prior quarter.
Opera (OPRA) Income from Continuing Operations (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Opera's Income from Continuing Operations was $173.82 million through Jun 30, 2026, up 57.8% year-over-year; for FY2025, it was $142.15 million, up 22.5% from FY2024.
- Income from Continuing Operations shows a five-year compound annual growth rate of 30.6% (FY2020 to FY2025).
- In earlier years, Income from Continuing Operations was $116.05 million in FY2024 (-24.3%), $153.3 million in FY2023 (+919.6%), $15.04 million in FY2022 and -$43.15 million in FY2021.
- Quarterly Income from Continuing Operations has moved between -$111.57 million (Q4 2021) and $3.74 billion (Q2 2022) over five years.
- Compared with a year earlier, Income from Continuing Operations has increased for three straight quarters, with growth averaging 25.3% over the last eight quarters.
- The best year-over-year quarter for Income from Continuing Operations over five years was Q4 2023 (growth of 433.3%); the worst was Q2 2023 (a decline of 99.6%).
- Per Business Quant data, OPRA's Income from Continuing Operations in the three quarters before Q2 2026 was $34.99 million (Q1 2026), $72.45 million (Q4 2025) and $26.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 275.05 Bn | 260.12 Bn | 2.30 Bn | -282.00 Mn |
| 2 | CrowdStrike Holdings | 250.89 Bn | 231.29 Bn | 1.10 Bn | 5.33 Mn |
| 3 | Fortinet | 129.44 Bn | 115.37 Bn | 1.64 Bn | 605.20 Mn |
| 4 | Snowflake | 110.18 Bn | 97.49 Bn | 1.04 Bn | -191.72 Mn |
| 5 | Datadog | 93.52 Bn | 75.16 Bn | 881.34 Mn | 44.53 Mn |
| 6 | Zscaler | 38.74 Bn | 24.86 Bn | - | - |
| 7 | Okta | 36.40 Bn | 26.50 Bn | 641.00 Mn | 116.00 Mn |
| 8 | Axon Enterprise | 32.81 Bn | 27.33 Bn | 546.45 Mn | 29.43 Mn |
| 9 | MongoDB | 29.04 Bn | 19.51 Bn | 569.77 Mn | 40.94 Mn |
| 10 | Opera | 1.57 Bn | 849.16 Mn | 114.91 Mn | 48.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.57 Mn |
| Mar 31, 2026 | 47.10 Mn |
| Dec 31, 2025 | 72.45 Mn |
| Sep 30, 2025 | 40.25 Mn |
| Jun 30, 2025 | 34.18 Mn |
| Mar 31, 2025 | 34.77 Mn |
| Dec 31, 2024 | 39.37 Mn |
| Sep 30, 2024 | 35.64 Mn |
| Jun 30, 2024 | 29.43 Mn |
| Mar 31, 2024 | 29.54 Mn |
| Dec 31, 2023 | 111.57 Mn |
| Sep 30, 2023 | 23.97 Mn |
| Jun 30, 2023 | 21.61 Mn |
| Mar 31, 2023 | 22.02 Bn |
| Dec 31, 2022 | 20.92 Mn |
| Sep 30, 2022 | 19.72 Mn |
| Jun 30, 2022 | 3.74 Bn |
| Mar 31, 2022 | -8.22 Mn |
| Dec 31, 2021 | -111.57 Mn |
| Sep 30, 2021 | 23.50 Mn |
Opera Income from Continuing Operations 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=income-from-continuing-operations&ticker=OPRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();