Opera (OPRA) EBITDA Margin (2017 - 2026)
Opera's EBITDA Margin was 17.60% in Q2 2026, up 1.69 percentage points from 15.91% a year earlier but down 2.29 percentage points from the prior quarter.
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Analysis
Opera (OPRA) EBITDA Margin (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Opera's EBITDA Margin was 18.59% through Jun 30, 2026, up 4.12 percentage points year-over-year; for FY2025, it came in at 17.72%, down 4.72 percentage points from FY2024.
- EBITDA Margin shows a five-year change of +6.85 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 22.44% in FY2024 (+3.27 pp), 19.17% in FY2023 (+1.55 pp), 17.62% in FY2022 (+9.48 pp) and 8.14% in FY2021 (-2.73 pp).
- Quarterly EBITDA Margin has moved between 0.06% (Q2 2024) and 18956.07% (Q3 2022) over five years.
- Compared with a year earlier, EBITDA Margin was higher in six of the last eight quarters, with an average year-over-year change of +3.89 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was Q3 2022 (a gain of 18949.60 percentage points); the worst was Q3 2023 (a drop of 18956.00 percentage points).
- Per Business Quant data, OPRA's EBITDA Margin in the three quarters before Q2 2026 was 19.89% (Q1 2026), 18.88% (Q4 2025) and 17.92% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 20.32% |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 11.58% |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | -8.70% |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 40.56% |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 9.97% |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 10.44% |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 20.62% |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 8.76% |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 4.58% |
| 10 | Opera | 1.32 Bn | 597.05 Mn | 114.91 Mn | 17.60% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.60% |
| Mar 31, 2026 | 19.89% |
| Dec 31, 2025 | 18.88% |
| Sep 30, 2025 | 17.92% |
| Jun 30, 2025 | 15.91% |
| Mar 31, 2025 | 17.87% |
| Dec 31, 2024 | 21.88% |
| Sep 30, 2024 | 0.09% |
| Jun 30, 2024 | 0.06% |
| Mar 31, 2024 | 22.23% |
| Dec 31, 2023 | 20.84% |
| Sep 30, 2023 | 0.07% |
| Jun 30, 2023 | 0.08% |
| Mar 31, 2023 | 16,028.97% |
| Dec 31, 2022 | 12,304.19% |
| Sep 30, 2022 | 18,956.07% |
| Jun 30, 2022 | 14,445.39% |
| Mar 31, 2022 | 6.89% |
| Dec 31, 2021 | 11.48% |
| Sep 30, 2021 | 6.47% |
API Access
Opera EBITDA 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=ebitda-margin&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();