Opera (OPRA) EPS (Diluted) (2016 - 2026)
Opera (OPRA) posted EPS (Diluted) of $0.30 for Q2 2026, up 73.3% from $0.17 a year earlier and up 11.2% from the prior quarter.
Opera (OPRA) EPS (Diluted) (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Opera was $1.39, up 55.0% year-over-year; for FY2025, it was $1.19, up 32.2% from FY2024.
- In prior years, Opera's EPS (Diluted) was $0.90 in FY2024 (+6.8%), $0.84 in FY2023, $0.07 in FY2022 and -$0.19 in FY2021.
- Quarterly EPS (Diluted) has run from a low of -$25.34 in Q2 2022 to a high of $94.81 in Q4 2022 over five years.
- On a year-over-year basis, EPS (Diluted) has increased in each of the last six quarters, with growth averaging 47.2% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was Q1 2025, with growth of 149.8%; the weakest was Q3 2024, with a decline of 99.9%.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was $0.27 (Q1 2026), $0.61 (Q4 2025) and $0.21 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | -0.37 |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 0.01 |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 0.82 |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | -0.55 |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 0.12 |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 0.65 |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 0.36 |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 0.50 |
| 10 | Opera | 1.58 Bn | 854.52 Mn | 114.91 Mn | 0.30 |
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 | 0.07 |
| Dec 31, 2022 | 94.81 |
| Sep 30, 2022 | 40.75 |
| Jun 30, 2022 | -25.34 |
| Mar 31, 2022 | -0.04 |
| Dec 31, 2021 | -0.49 |
| Sep 30, 2021 | 0.10 |
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_KEY
import 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();