Opera (OPRA) Operating Margin (2017 - 2026)
Opera's Operating Margin was 14.55% in Q2 2026, up 1.88 percentage points from 12.67% a year earlier but down 2.38 percentage points from the prior quarter.
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Analysis
Opera (OPRA) Operating Margin (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Opera's Operating Margin was 15.60% through Jun 30, 2026, down 0.61 percentage points year-over-year; for FY2025, it came in at 14.65%, down 4.55 percentage points from FY2024.
- Operating Margin shows a five-year change of +16.13 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was 19.20% in FY2024 (+3.35 pp), 15.85% in FY2023 (+3.22 pp), 12.63% in FY2022 (+15.10 pp) and -2.47% in FY2021 (-0.99 pp).
- Quarterly Operating Margin has moved between -0.93% (Q3 2021) and 18952.04% (Q3 2022) over five years.
- Compared with a year earlier, Operating Margin was higher in four of the last eight quarters, with an average year-over-year change of -1.32 percentage points.
- The best year-over-year quarter for Operating Margin over five years was Q3 2022 (a gain of 18952.97 percentage points); the worst was Q3 2023 (a drop of 18936.38 percentage points).
- Per Business Quant data, OPRA's Operating Margin in the three quarters before Q2 2026 was 16.93% (Q1 2026), 16.09% (Q4 2025) and 14.73% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 0.49% |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 13.29% |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 5.17% |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 3.68% |
| 10 | Opera | 1.58 Bn | 857.21 Mn | 114.91 Mn | 14.55% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.55% |
| Mar 31, 2026 | 16.93% |
| Dec 31, 2025 | 16.09% |
| Sep 30, 2025 | 14.73% |
| Jun 30, 2025 | 12.67% |
| Mar 31, 2025 | 14.77% |
| Dec 31, 2024 | 18.90% |
| Sep 30, 2024 | 18.82% |
| Jun 30, 2024 | 20.00% |
| Mar 31, 2024 | 19.22% |
| Dec 31, 2023 | 17.99% |
| Sep 30, 2023 | 15.66% |
| Jun 30, 2023 | 13.32% |
| Mar 31, 2023 | 16,025.09% |
| Dec 31, 2022 | 12,300.57% |
| Sep 30, 2022 | 18,952.04% |
| Jun 30, 2022 | 14,440.99% |
| Mar 31, 2022 | 1.87% |
| Dec 31, 2021 | 5.20% |
| Sep 30, 2021 | -0.93% |
API Access
Opera Operating 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=operating-margin&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();