Opera (OPRA) Return on Equity [ROE] (2017 - 2026)
Opera's Return on Equity [ROE] was 965644.44% in Q2 2026, up 353683.33 percentage points from 611961.11% a year earlier and up 110988.89 percentage points from the prior quarter.
Opera (OPRA) Return on Equity [ROE] (2017 - 2026) Analysis & Trends
For FY2025, Return on Equity [ROE] at Opera came in at 601566.67%, up 601549.11 percentage points from FY2024.
- Return on Equity [ROE] has now increased for four consecutive years, with a five-year change of +601548.39 percentage points (FY2020 to FY2025).
- In earlier years, Return on Equity [ROE] was 17.56% in FY2024 (+0.60 pp), 16.96% in FY2023 (+15.38 pp), 1.58% in FY2022 (+5.85 pp) and -4.26% in FY2021 (-22.54 pp).
- The Q2 2026 figure marks the highest quarterly Return on Equity [ROE] since Q3 2024.
- Compared with a year earlier, Return on Equity [ROE] has increased for three straight quarters, with an average year-over-year change of +401986.87 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Equity [ROE] over five years was Q3 2024 (a gain of 1022947.11 percentage points); the worst was Q3 2025 (a drop of 417005.56 percentage points).
- Per Business Quant data, OPRA's Return on Equity [ROE] in the three quarters before Q2 2026 was 854655.56% (Q1 2026), 789727.78% (Q4 2025) and 605950.00% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 267.38 Bn | 252.45 Bn | 2.30 Bn | 1.11% |
| 2 | CrowdStrike Holdings | 243.22 Bn | 223.62 Bn | 1.10 Bn | 1.60% |
| 3 | Fortinet | 127.18 Bn | 113.11 Bn | 1.64 Bn | 166.87% |
| 4 | Snowflake | 109.55 Bn | 96.87 Bn | 1.04 Bn | -53.23% |
| 5 | Datadog | 91.85 Bn | 73.49 Bn | 881.34 Mn | 4.25% |
| 6 | Zscaler | 38.03 Bn | 24.15 Bn | - | - |
| 7 | Okta | 35.05 Bn | 25.14 Bn | 641.00 Mn | 4.27% |
| 8 | Axon Enterprise | 33.28 Bn | 27.81 Bn | 546.45 Mn | 5.53% |
| 9 | MongoDB | 29.21 Bn | 19.68 Bn | 569.77 Mn | 1.99% |
| 10 | Opera | 1.58 Bn | 862.58 Mn | 114.91 Mn | 20.81% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.81% |
| Mar 31, 2026 | 19.40% |
| Dec 31, 2025 | 18.55% |
| Sep 30, 2025 | 15.61% |
| Jun 30, 2025 | 15.27% |
| Mar 31, 2025 | 14.89% |
| Dec 31, 2024 | 14.47% |
| Sep 30, 2024 | 22.03% |
| Jun 30, 2024 | 20.09% |
| Mar 31, 2024 | 19.26% |
| Dec 31, 2023 | 18.56% |
| Sep 30, 2023 | 9.15% |
| Jun 30, 2023 | 8.17% |
| Mar 31, 2023 | 4.64% |
| Dec 31, 2022 | 1.60% |
| Sep 30, 2022 | -11.93% |
| Jun 30, 2022 | -10.46% |
| Mar 31, 2022 | -5.36% |
| Dec 31, 2021 | -4.12% |
| Sep 30, 2021 | 8.74% |
Opera Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=OPRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();