Opera (OPRA) EPS (Diluted) (2016 - 2026)
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Analysis
Opera (OPRA) EPS (Diluted) (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.30 |
| Mar 31, 2026 | 0.27 |
| Dec 31, 2025 | 0.61 |
| Sep 30, 2025 | 0.21 |
| Jun 30, 2025 | 0.17 |
| Mar 31, 2025 | 0.20 |
| Dec 31, 2024 | 0.32 |
| Sep 30, 2024 | 0.10 |
| Jun 30, 2024 | 0.11 |
| Mar 31, 2024 | 0.08 |
| Dec 31, 2023 | 0.59 |
| Sep 30, 2023 | 0.08 |
| Jun 30, 2023 | 0.06 |
| Mar 31, 2023 | 70.14 |
| Dec 31, 2022 | 0.06 |
| Sep 30, 2022 | 0.05 |
| Jun 30, 2022 | -25.34 |
| Mar 31, 2022 | -0.04 |
| Dec 31, 2021 | -0.49 |
| Sep 30, 2021 | 0.13 |
API Access
Opera EPS (Diluted) 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=eps-diluted&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();