Opera (OPRA) EBT (2016 - 2026)
Opera's EBT was $33.69 million in Q2 2026, up 89.7% from $17.76 million a year earlier and up 12.7% from the prior quarter.
Powered by 
Analysis
Opera (OPRA) EBT (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Opera's EBT was $150.24 million through Jun 30, 2026, up 57.5% year-over-year; for FY2025, it came in at $125.22 million, up 27.2% from FY2024.
- EBT shows a five-year compound annual growth rate of 27.3% (FY2020 to FY2025).
- In earlier years, EBT was $98.41 million in FY2024 (-38.5%), $160 million in FY2023 (+570.3%), $23.87 million in FY2022 and -$43.11 million in FY2021.
- Quarterly EBT has moved between -$109.14 million (Q4 2021) and $109.51 million (Q4 2023) over five years.
- Compared with a year earlier, EBT has increased for three straight quarters, with growth averaging 21.6% over the last eight quarters.
- The best year-over-year quarter for EBT over five years was Q4 2023 (growth of 441.0%); the worst was Q4 2024 (a decline of 68.9%).
- Per Business Quant data, OPRA's EBT in the three quarters before Q2 2026 was $29.89 million (Q1 2026), $64.08 million (Q4 2025) and $22.58 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.21 Bn | 240.28 Bn | 2.30 Bn | -269.00 Mn |
| 2 | CrowdStrike Holdings | 230.72 Bn | 211.12 Bn | 1.10 Bn | 3.93 Mn |
| 3 | Fortinet | 125.04 Bn | 110.97 Bn | 1.64 Bn | 720.20 Mn |
| 4 | Snowflake | 112.14 Bn | 99.46 Bn | 1.04 Bn | -188.29 Mn |
| 5 | Datadog | 91.31 Bn | 72.95 Bn | 881.34 Mn | 51.73 Mn |
| 6 | Zscaler | 34.32 Bn | 20.44 Bn | - | - |
| 7 | Okta | 33.62 Bn | 23.71 Bn | 641.00 Mn | 126.00 Mn |
| 8 | Axon Enterprise | 31.90 Bn | 26.43 Bn | 546.45 Mn | 32.68 Mn |
| 9 | MongoDB | 29.07 Bn | 19.54 Bn | 569.77 Mn | 45.95 Mn |
| 10 | Opera | 1.58 Bn | 855.42 Mn | 114.91 Mn | 42.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.43 Mn |
| Mar 31, 2026 | 42.00 Mn |
| Dec 31, 2025 | 64.08 Mn |
| Sep 30, 2025 | 36.29 Mn |
| Jun 30, 2025 | 32.09 Mn |
| Mar 31, 2025 | 32.26 Mn |
| Dec 31, 2024 | 34.03 Mn |
| Sep 30, 2024 | 30.80 Mn |
| Jun 30, 2024 | 26.61 Mn |
| Mar 31, 2024 | 24.91 Mn |
| Dec 31, 2023 | 109.51 Mn |
| Sep 30, 2023 | 23.75 Mn |
| Jun 30, 2023 | 20.47 Mn |
| Mar 31, 2023 | 18.75 Bn |
| Dec 31, 2022 | 20.24 Bn |
| Sep 30, 2022 | 14.55 Mn |
| Jun 30, 2022 | -2.09 Mn |
| Mar 31, 2022 | -8.83 Mn |
| Dec 31, 2021 | -109.14 Mn |
| Sep 30, 2021 | 23.89 Mn |
API Access
Opera EBT 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=ebt&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();