Opera (OPRA) Operating Expenses (2016 - 2026)
Opera's (OPRA) quarterly Operating Expenses came in at -$152.2 million in Q2 2026, down 21.89% year-over-year from -$194.9 million in Q2 2025, and down 4.21% quarter-over-quarter from -$146.1 million in Q1 2026.
Opera (OPRA) Operating Expenses (2016 - 2026) Analysis & Trends
Opera has disclosed Operating Expenses across 11 years of filings, most recently posting -$152.2 million for Q2 2026.
- In Q2 2026, Operating Expenses fell 21.89% year-over-year to -$152.2 million; the TTM figure through Jun 2026 stood at -$576.1 million (down 23.76% YoY), while the FY2025 annual figure was -$524.4 million, down 34.2% from the prior year.
- Operating Expenses came in at -$152.2 million for Q2 2026 at Opera, down from -$146.1 million in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of -$70.4 million in Q1 2022 to a low of -$84.6 billion in Q4 2022.
- Average Operating Expenses over 5 years is -$16.4 billion, with a median of -$123.2 million recorded in 2025.
- Year-over-year, Operating Expenses tumbled 122308.6% in 2022 and soared 99.89% in 2023.
- Over 5 years, Operating Expenses stood at -$84.6 billion in 2022, then soared by 99.89% to -$93.2 million in 2023, then fell by 27.06% to -$118.4 million in 2024, then fell by 25.16% to -$148.1 million in 2025, then decreased by 2.74% to -$152.2 million in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were -$152.2 million in Q2 2026, -$146.1 million in Q1 2026, and -$148.1 million in Q4 2025.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -152.20 Mn |
| Mar 31, 2026 | -146.06 Mn |
| Dec 31, 2025 | -148.14 Mn |
| Sep 30, 2025 | -129.74 Mn |
| Jun 30, 2025 | -124.87 Mn |
| Mar 31, 2025 | -121.63 Mn |
| Dec 31, 2024 | -118.36 Mn |
| Sep 30, 2024 | -100.68 Mn |
| Jun 30, 2024 | -89.07 Mn |
| Mar 31, 2024 | -82.64 Mn |
| Dec 31, 2023 | -93.15 Mn |
| Sep 30, 2023 | -86.57 Mn |
| Jun 30, 2023 | -81.65 Mn |
| Mar 31, 2023 | -73.23 Bn |
| Dec 31, 2022 | -84.58 Bn |
| Sep 30, 2022 | -69.25 Bn |
| Jun 30, 2022 | -66.66 Bn |
| Mar 31, 2022 | -70.41 Mn |
| Dec 31, 2021 | -69.09 Mn |
| Sep 30, 2021 | -67.30 Mn |
Opera Operating Expenses 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=operating-expenses&ticker=OPRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();