Opera (OPRA) Gross Margin (2017 - 2026)
Opera (OPRA) posted Gross Margin of 64.53% for Q2 2026, down 2.55 percentage points from 67.09% a year earlier and down 0.85 percentage points from the prior quarter.
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Analysis
Opera (OPRA) Gross Margin (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Gross Margin at Opera was 65.66%, down 3.86 percentage points year-over-year; for FY2025, it was 66.64%, down 8.68 percentage points from FY2024.
- Annual Gross Margin shows a five-year change of -32.94 percentage points (FY2020 to FY2025).
- In prior years, Opera's Gross Margin was 75.31% in FY2024 (+75.30 pp), 0.01% in FY2023 (unchanged), 0.01% in FY2022 (-97.80 pp) and 97.81% in FY2021 (-1.77 pp).
- The Q2 2026 figure stands as the lowest quarterly Gross Margin since Q1 2024.
- On a year-over-year basis, Gross Margin has declined in each of the last five quarters, with an average year-over-year change of +23.19 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Gross Margin in the past five years was Q2 2023, with a gain of 12465.21 percentage points; the weakest was Q2 2022, with a drop of 12485.50 percentage points.
- According to Business Quant data, Gross Margin for the three prior quarters was 65.38% (Q1 2026), 65.00% (Q4 2025) and 68.07% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 67.57% |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 74.57% |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 80.24% |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | 67.02% |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 78.59% |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 79.63% |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 60.42% |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 73.83% |
| 10 | Opera | 1.58 Bn | 854.52 Mn | 114.91 Mn | 64.53% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.53% |
| Mar 31, 2026 | 0.01% |
| Dec 31, 2025 | 65.00% |
| Sep 30, 2025 | 68.07% |
| Jun 30, 2025 | 67.09% |
| Mar 31, 2025 | 0.01% |
| Dec 31, 2024 | 69.74% |
| Sep 30, 2024 | 75.35% |
| Jun 30, 2024 | 77.34% |
| Mar 31, 2024 | 0.02% |
| Dec 31, 2023 | 0.10% |
| Sep 30, 2023 | 0.02% |
| Jun 30, 2023 | 78.37% |
| Mar 31, 2023 | 0.03% |
| Dec 31, 2022 | 0.02% |
| Sep 30, 2022 | 0.03% |
| Jun 30, 2022 | -12,386.83% |
| Mar 31, 2022 | 91.92% |
| Dec 31, 2021 | 95.81% |
| Sep 30, 2021 | 98.17% |
API Access
Opera Gross 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=gross-margin&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();