Opera (OPRA) Profit After Tax (2016 - 2026)
Opera's Profit After Tax 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.
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Analysis
Opera (OPRA) Profit After Tax (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Opera's Profit After Tax was $173.82 million through Jun 30, 2026, up 57.8% year-over-year; for FY2025, it came in at $142.15 million, up 22.5% from FY2024.
- Profit After Tax shows a five-year compound annual growth rate of 30.5% (FY2020 to FY2025).
- In earlier years, Profit After Tax was $116.05 million in FY2024 (-30.4%), $166.69 million in FY2023 (+409.7%), $32.71 million in FY2022 and -$43.15 million in FY2021.
- Quarterly Profit After Tax has moved between -$660.76 million (Q4 2022) and $3.74 billion (Q2 2022) over five years.
- Compared with a year earlier, Profit After Tax has increased for three straight quarters, with growth averaging 25.3% over the last eight quarters.
- The best year-over-year quarter for Profit After Tax over five years was Q3 2021 (growth of 174.7%); the worst was Q2 2023 (a decline of 99.6%).
- Per Business Quant data, OPRA's Profit After Tax 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | -282.00 Mn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 5.33 Mn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 605.20 Mn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | -191.72 Mn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 44.53 Mn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 116.00 Mn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 29.43 Mn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 40.94 Mn |
| 10 | Opera | 1.58 Bn | 854.52 Mn | 114.91 Mn | 48.57 Mn |
Historic Data
Download Data
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 | 19.56 Bn |
| Sep 30, 2022 | 19.72 Mn |
| Jun 30, 2022 | 3.74 Bn |
| Mar 31, 2022 | -8.22 Mn |
| Dec 31, 2021 | -106.70 Mn |
| Sep 30, 2021 | 24.28 Mn |
API Access
Opera Profit After Tax 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=profit-after-tax&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();