Opera (OPRA) Shares Outstanding (Diluted) (2016 - 2026)
Opera (OPRA) posted Shares Outstanding (Diluted) of 90.96 million for Q2 2026, up 1.4% from 89.68 million a year earlier and unchanged from the prior quarter.
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Analysis
Opera (OPRA) Shares Outstanding (Diluted) (2016 - 2026) Analysis & Trends
Since Q4 2016, Opera has reported Shares Outstanding (Diluted) for 38 quarters.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -17.3% (FY2020 to FY2025).
- In prior years, Opera's Shares Outstanding (Diluted) was 89.68 million in FY2024 (-50.7%), 181.84 million in FY2023 (-17.6%), 220.67 million in FY2022 (-4.2%) and 230.29 million in FY2021 (-1.8%).
- Quarterly Shares Outstanding (Diluted) has run from a low of 89.68 million in Q4 2024 to a high of 234.57 million in Q3 2021 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last three quarters, with an average decline of 27.0% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2021, with growth of 4.4%; the weakest was Q4 2024, with a decline of 50.7%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 90.96 million (Q1 2026), 90.96 million (Q4 2025) and 89.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 284.97 Bn | 270.04 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 261.98 Bn | 242.38 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 131.71 Bn | 117.64 Bn | 1.64 Bn | 739.90 Mn |
| 4 | Snowflake | 113.17 Bn | 100.49 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 96.06 Bn | 77.70 Bn | 881.34 Mn | 371.02 Mn |
| 6 | Zscaler | 40.62 Bn | 26.74 Bn | - | 160.22 Mn |
| 7 | Okta | 36.94 Bn | 27.03 Bn | 641.00 Mn | 178.81 Mn |
| 8 | Axon Enterprise | 33.87 Bn | 28.40 Bn | 546.45 Mn | 82.54 Mn |
| 9 | MongoDB | 29.79 Bn | 20.26 Bn | 569.77 Mn | 82.00 Mn |
| 10 | Opera | 1.55 Bn | 831.24 Mn | 114.91 Mn | 90.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90.96 Mn |
| Mar 31, 2026 | 90.96 Mn |
| Dec 31, 2025 | 90.96 Mn |
| Sep 30, 2025 | 89.68 Mn |
| Jun 30, 2025 | 89.68 Mn |
| Mar 31, 2025 | 89.68 Mn |
| Dec 31, 2024 | 89.68 Mn |
| Sep 30, 2024 | 181.84 Mn |
| Jun 30, 2024 | 181.84 Mn |
| Mar 31, 2024 | 181.84 Mn |
| Dec 31, 2023 | 181.84 Mn |
| Sep 30, 2023 | 220.67 Mn |
| Jun 30, 2023 | 220.67 Mn |
| Mar 31, 2023 | 220.67 Mn |
| Dec 31, 2022 | 220.67 Mn |
| Sep 30, 2022 | 230.29 Mn |
| Jun 30, 2022 | 230.29 Mn |
| Mar 31, 2022 | 230.29 Mn |
| Dec 31, 2021 | 230.29 Mn |
| Sep 30, 2021 | 234.57 Mn |
API Access
Opera Shares Outstanding (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=shares-outstanding-diluted&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-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=shares-outstanding-diluted&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();