Opera (OPRA) Consolidated Net Income (2016 - 2026)
Opera (OPRA) reported Consolidated Net Income of $39.83 million for Q2 2026, up 100.6% from $19.85 million a year earlier and up 13.8% from the prior quarter.
Opera (OPRA) Consolidated Net Income (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Opera's Consolidated Net Income came in at $173.82 million, up 57.8% year-over-year; for FY2025, it was $108.28 million, up 34.1% from FY2024.
- Consolidated Net Income has a five-year compound annual growth rate of -9.6% (FY2020 to FY2025).
- By year, Consolidated Net Income came in at $80.77 million in FY2024 (-47.3%), $153.3 million in FY2023 (+919.6%), $15.04 million in FY2022 and -$43.96 million in FY2021.
- Five-year quarterly Consolidated Net Income spans a low of -$112.39 million in Q4 2021 and a high of $107.45 million in Q4 2023.
- Year over year, Consolidated Net Income has now increased in each of the last three quarters, with growth averaging 26.0% over the last eight quarters.
- The high point for year-over-year Consolidated Net Income in five years was Q4 2023 (growth of 413.6%); the low point was Q3 2021 (a decline of 84.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $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) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 284.97 Bn | 270.04 Bn | 2.30 Bn | -282.00 Mn |
| 2 | CrowdStrike Holdings | 261.98 Bn | 242.38 Bn | 1.10 Bn | 5.31 Mn |
| 3 | Fortinet | 131.71 Bn | 117.64 Bn | 1.64 Bn | 605.20 Mn |
| 4 | Snowflake | 113.17 Bn | 100.49 Bn | 1.04 Bn | -191.72 Mn |
| 5 | Datadog | 96.06 Bn | 77.70 Bn | 881.34 Mn | 44.53 Mn |
| 6 | Zscaler | 40.62 Bn | 26.74 Bn | - | - |
| 7 | Okta | 36.94 Bn | 27.03 Bn | 641.00 Mn | 116.00 Mn |
| 8 | Axon Enterprise | 33.87 Bn | 28.40 Bn | 546.45 Mn | 29.43 Mn |
| 9 | MongoDB | 29.79 Bn | 20.26 Bn | 569.77 Mn | 40.94 Mn |
| 10 | Opera | 1.55 Bn | 831.24 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 | 107.45 Mn |
| Sep 30, 2023 | 16.84 Mn |
| Jun 30, 2023 | 21.61 Mn |
| Mar 31, 2023 | 15.48 Mn |
| Dec 31, 2022 | 20.92 Mn |
| Sep 30, 2022 | 9.38 Mn |
| Jun 30, 2022 | -5.84 Mn |
| Mar 31, 2022 | -9.44 Mn |
| Dec 31, 2021 | -112.39 Mn |
| Sep 30, 2021 | 23.50 Mn |
Opera Consolidated Net 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=consolidated-net-income&ticker=OPRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-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=consolidated-net-income&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();