Opera (OPRA) EBIT (QoQ) (2017 - 2026)
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Analysis
Opera (OPRA) EBIT (QoQ) (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -12.95% |
| Mar 31, 2026 | 4.38% |
| Dec 31, 2025 | 27.42% |
| Sep 30, 2025 | 23.57% |
| Jun 30, 2025 | -14.07% |
| Mar 31, 2025 | -23.53% |
| Dec 31, 2024 | 18.87% |
| Sep 30, 2024 | 5.66% |
| Jun 30, 2024 | 12.10% |
| Mar 31, 2024 | -3.70% |
| Dec 31, 2023 | 26.43% |
| Sep 30, 2023 | 28.26% |
| Jun 30, 2023 | -99.91% |
| Mar 31, 2023 | 17.80% |
| Dec 31, 2022 | -26.79% |
| Sep 30, 2022 | 43.91% |
| Jun 30, 2022 | 837,455.89% |
| Mar 31, 2022 | -64.50% |
| Dec 31, 2021 | 711.65% |
| Sep 30, 2021 | 92.19% |
API Access
Opera EBIT (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=ebit-qoq&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-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=ebit-qoq&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();