Opera (OPRA) Dividends Paid - Common and Prefferd (2023 - 2026)
Opera's Dividends Paid - Common and Prefferd came in at -$35.88 million for Q1 2026, compared with -$35.4 million a year earlier.
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Analysis
Opera (OPRA) Dividends Paid - Common and Prefferd (2023 - 2026) Analysis & Trends
For FY2025, Opera's Dividends Paid - Common and Prefferd was -$71.17 million.
- Going back by year, Dividends Paid - Common and Prefferd was -$37.44 million in FY2024 and -$23.11 million in FY2023.
- The Q1 2026 figure represents the lowest quarterly Dividends Paid - Common and Prefferd in data going back to Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div Paid (Total) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 284.97 Bn | 270.04 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 261.98 Bn | 242.38 Bn | 1.10 Bn | - |
| 3 | Fortinet | 131.71 Bn | 117.64 Bn | 1.64 Bn | - |
| 4 | Snowflake | 113.17 Bn | 100.49 Bn | 1.04 Bn | - |
| 5 | Datadog | 96.06 Bn | 77.70 Bn | 881.34 Mn | - |
| 6 | Zscaler | 40.62 Bn | 26.74 Bn | - | - |
| 7 | Okta | 36.94 Bn | 27.03 Bn | 641.00 Mn | - |
| 8 | Axon Enterprise | 33.87 Bn | 28.40 Bn | 546.45 Mn | - |
| 9 | MongoDB | 29.79 Bn | 20.26 Bn | 569.77 Mn | - |
| 10 | Opera | 1.55 Bn | 831.24 Mn | 114.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -35.88 Mn |
| Dec 31, 2025 | 142.33 Mn |
| Sep 30, 2025 | -35.77 Mn |
| Mar 31, 2025 | -35.40 Mn |
| Dec 31, 2024 | 8,000.00 |
| Sep 30, 2024 | -27.57 Mn |
| Mar 31, 2024 | -9.87 Mn |
| Dec 31, 2023 | -84.12 Mn |
| Sep 30, 2023 | -10.83 Mn |
| Mar 31, 2023 | -12.27 Mn |
API Access
Opera Dividends Paid - Common and Prefferd 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=dividends-paid-common-and-prefferd&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-prefferd", "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=dividends-paid-common-and-prefferd&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();