Opera (OPRA) Net Income (2016 - 2026)
Opera (OPRA) recorded Net Income of $39.83 million in Q2 2026, up 100.6% from $19.85 million a year earlier and up 13.8% from the prior quarter.
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Analysis
Opera (OPRA) Net Income (2016 - 2026) Analysis & Trends
On a TTM basis, Opera's Net Income came in at $173.82 million as of Jun 30, 2026, up 57.8% year-over-year; for FY2025, it came in at $108.28 million, up 34.1% from FY2024.
- Annual Net Income has a five-year compound annual growth rate of -9.6% (FY2020 to FY2025).
- Across earlier years, 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.
- Quarterly Net Income has ranged from -$112.39 million in Q4 2021 to $107.45 million in Q4 2023 over the past five years.
- On a year-over-year basis, Net Income has increased for three consecutive quarters, with growth averaging 26.0% over the last eight quarters.
- Peak year-over-year performance for Net Income in the last five years was growth of 413.6% in Q4 2023, against a decline of 84.8% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $34.99 million (Q1 2026), $72.45 million (Q4 2025) and $26.55 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.09 Bn | 245.16 Bn | 2.30 Bn | -282.00 Mn |
| 2 | CrowdStrike Holdings | 244.26 Bn | 224.66 Bn | 1.10 Bn | 5.31 Mn |
| 3 | Fortinet | 127.58 Bn | 113.51 Bn | 1.64 Bn | 606.30 Mn |
| 4 | Snowflake | 112.93 Bn | 100.25 Bn | 1.04 Bn | -191.72 Mn |
| 5 | Datadog | 97.34 Bn | 78.98 Bn | 881.34 Mn | 44.56 Mn |
| 6 | Zscaler | 37.10 Bn | 23.22 Bn | - | - |
| 7 | Okta | 36.45 Bn | 26.54 Bn | 641.00 Mn | 116.00 Mn |
| 8 | Axon Enterprise | 32.48 Bn | 27.00 Bn | 546.45 Mn | 29.43 Mn |
| 9 | MongoDB | 31.35 Bn | 21.82 Bn | 569.77 Mn | 40.94 Mn |
| 10 | Opera | 1.61 Bn | 886.76 Mn | 114.91 Mn | 33.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.69 Mn |
| Mar 31, 2026 | 29.89 Mn |
| Dec 31, 2025 | 64.08 Mn |
| Sep 30, 2025 | 22.58 Mn |
| Jun 30, 2025 | 17.76 Mn |
| Mar 31, 2025 | 20.79 Mn |
| Dec 31, 2024 | 34.03 Mn |
| Sep 30, 2024 | 22.79 Mn |
| Jun 30, 2024 | 22.13 Mn |
| Mar 31, 2024 | 19.47 Mn |
| Dec 31, 2023 | 109.51 Mn |
| Sep 30, 2023 | 17.05 Mn |
| Jun 30, 2023 | 14.68 Mn |
| Mar 31, 2023 | 18.75 Mn |
| Dec 31, 2022 | 20.24 Mn |
| Sep 30, 2022 | 15,031.00 |
| Jun 30, 2022 | -3,974.00 |
| Mar 31, 2022 | -9.44 Mn |
| Dec 31, 2021 | -112.39 Mn |
| Sep 30, 2021 | 23.50 Mn |
API Access
Opera 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=net-income&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=net-income&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();