Opera (OPRA) Net Margin (2017 - 2026)
Opera's Net Margin was 15.47% in Q2 2026, up 4.51 percentage points from 10.97% a year earlier and up 1.37 percentage points from the prior quarter.
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Analysis
Opera (OPRA) Net Margin (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Opera's Net Margin was 18.54% through Jun 30, 2026, up 4.02 percentage points year-over-year; for FY2025, it was 17.61%, up 0.81 percentage points from FY2024.
- Net Margin shows a four-year change of +35.13 percentage points (FY2021 to FY2025).
- In earlier years, Net Margin was 16.80% in FY2024 (-21.83 pp), 38.63% in FY2023 (+34.09 pp), 4.54% in FY2022 (+22.06 pp) and -17.52% in FY2021.
- Quarterly Net Margin has moved between -7498.01% (Q2 2022) and 21732.18% (Q4 2022) over five years.
- Compared with a year earlier, Net Margin has increased for three straight quarters, with an average year-over-year change of -2057.14 percentage points over the last eight quarters.
- The best year-over-year quarter for Net Margin over five years was Q4 2022 (a gain of 21886.93 percentage points); the worst was Q4 2023 (a drop of 21637.09 percentage points).
- Per Business Quant data, OPRA's Net Margin in the three quarters before Q2 2026 was 14.10% (Q1 2026), 31.43% (Q4 2025) and 12.25% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.09 Bn | 245.16 Bn | 2.30 Bn | -8.27% |
| 2 | CrowdStrike Holdings | 244.26 Bn | 224.66 Bn | 1.10 Bn | 0.36% |
| 3 | Fortinet | 127.58 Bn | 113.51 Bn | 1.64 Bn | 29.61% |
| 4 | Snowflake | 112.93 Bn | 100.25 Bn | 1.04 Bn | -12.39% |
| 5 | Datadog | 97.34 Bn | 78.98 Bn | 881.34 Mn | 3.97% |
| 6 | Zscaler | 37.10 Bn | 23.22 Bn | - | - |
| 7 | Okta | 36.45 Bn | 26.54 Bn | 641.00 Mn | 14.41% |
| 8 | Axon Enterprise | 32.48 Bn | 27.00 Bn | 546.45 Mn | 3.25% |
| 9 | MongoDB | 31.35 Bn | 21.82 Bn | 569.77 Mn | 5.30% |
| 10 | Opera | 1.61 Bn | 886.76 Mn | 114.91 Mn | 15.47% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.47% |
| Mar 31, 2026 | 14.10% |
| Dec 31, 2025 | 31.43% |
| Sep 30, 2025 | 12.25% |
| Jun 30, 2025 | 10.97% |
| Mar 31, 2025 | 12.81% |
| Dec 31, 2024 | 19.67% |
| Sep 30, 2024 | 14.56% |
| Jun 30, 2024 | 17.59% |
| Mar 31, 2024 | 14.57% |
| Dec 31, 2023 | 95.09% |
| Sep 30, 2023 | 16.40% |
| Jun 30, 2023 | 14.38% |
| Mar 31, 2023 | 17.78% |
| Dec 31, 2022 | 21,732.18% |
| Sep 30, 2022 | 10,995.11% |
| Jun 30, 2022 | -7,498.01% |
| Mar 31, 2022 | -13.18% |
| Dec 31, 2021 | -154.75% |
| Sep 30, 2021 | 35.27% |
API Access
Opera Net Margin 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-margin&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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-margin&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();