Opera (OPRA) EBITDA (2016 - 2026)
Opera's (OPRA) quarterly EBITDA came in at $42.4 million in Q2 2026, up 32.2% year-over-year from $32.1 million in Q2 2025, and up 1.03% quarter-over-quarter from $42.0 million in Q1 2026.
Opera (OPRA) EBITDA (2016 - 2026) Analysis & Trends
Opera has disclosed EBITDA across 11 years of filings, most recently posting $42.4 million for Q2 2026.
- In Q2 2026, EBITDA rose 32.2% year-over-year to $42.4 million; the TTM figure through Jun 2026 stood at $135.3 million (up 10.27% YoY), while the FY2025 annual figure was $90.1 million, down 2.37% from the prior year.
- EBITDA came in at $42.4 million for Q2 2026 at Opera, up from $42.0 million in the prior quarter.
- In the past five years, EBITDA ranged from a high of $42.4 million in Q2 2026 to a low of $7.3 million in Q1 2022.
- Average EBITDA over 5 years is $26.2 million, with a median of $25.8 million recorded in 2024.
- Year-over-year, EBITDA soared 1732.41% in 2022 and dropped 27.34% in 2025.
- Over 5 years, EBITDA stood at $22.8 million in 2022, then advanced by 21.86% to $27.8 million in 2023, then slipped by 0.74% to $27.6 million in 2024, then increased by 3.46% to $28.5 million in 2025, then jumped by 48.81% to $42.4 million in 2026.
- Per Business Quant data, the three most recent EBITDA figures were $42.4 million in Q2 2026, $42.0 million in Q1 2026, and $28.5 million in Q4 2025.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.43 Mn |
| Mar 31, 2026 | 42.00 Mn |
| Dec 31, 2025 | 28.51 Mn |
| Sep 30, 2025 | 22.38 Mn |
| Jun 30, 2025 | 32.09 Mn |
| Mar 31, 2025 | 32.26 Mn |
| Dec 31, 2024 | 27.56 Mn |
| Sep 30, 2024 | 30.80 Mn |
| Jun 30, 2024 | 26.61 Mn |
| Mar 31, 2024 | 24.91 Mn |
| Dec 31, 2023 | 27.76 Mn |
| Sep 30, 2023 | 23.75 Mn |
| Jun 30, 2023 | 20.47 Mn |
| Mar 31, 2023 | 21.74 Mn |
| Dec 31, 2022 | 22.78 Mn |
| Sep 30, 2022 | 21.38 Mn |
| Jun 30, 2022 | 16.57 Mn |
| Mar 31, 2022 | 7.35 Mn |
| Dec 31, 2021 | 17.25 Mn |
| Sep 30, 2021 | 8.20 Mn |
Opera EBITDA 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&ticker=OPRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();