Opera (OPRA) Revenue (QoQ) (2017 - 2026)
Powered by 
Analysis
Opera (OPRA) Revenue (QoQ) (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.31% |
| Mar 31, 2026 | -0.81% |
| Dec 31, 2025 | 16.63% |
| Sep 30, 2025 | 6.28% |
| Jun 30, 2025 | 0.17% |
| Mar 31, 2025 | -2.14% |
| Dec 31, 2024 | 18.36% |
| Sep 30, 2024 | 12.28% |
| Jun 30, 2024 | 7.72% |
| Mar 31, 2024 | -9.85% |
| Dec 31, 2023 | 10.10% |
| Sep 30, 2023 | 9.03% |
| Jun 30, 2023 | 8.14% |
| Mar 31, 2023 | -9.58% |
| Dec 31, 2022 | 12.80% |
| Sep 30, 2022 | 9.65% |
| Jun 30, 2022 | 8.73% |
| Mar 31, 2022 | -1.44% |
| Dec 31, 2021 | 9.02% |
| Sep 30, 2021 | 10.74% |
API Access
Opera Revenue (QoQ) 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=revenue-qoq&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue-qoq", "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=revenue-qoq&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();