Opera (OPRA) Return on Capital Employed [ROCE] (2017 - 2026)
Opera's Return on Capital Employed [ROCE] came in at 10.51% for Q2 2026, up 1.10 percentage points from 9.40% a year earlier and up 0.65 percentage points from the prior quarter.
Powered by 
Analysis
Opera (OPRA) Return on Capital Employed [ROCE] (2017 - 2026) Analysis & Trends
For FY2025, Opera's Return on Capital Employed [ROCE] was 9.18%, down 0.71 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +9.42 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 9.90% in FY2024 (+2.96 pp), 6.94% in FY2023 (+2.60 pp), 4.34% in FY2022 (+4.94 pp) and -0.60% in FY2021 (-0.37 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q4 2023.
- Year-over-year, Return on Capital Employed [ROCE] increased in three of the last eight quarters, with an average year-over-year change of -586.49 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q1 2023 (a gain of 6097.54 percentage points), and the weakest in Q1 2024 (a drop of 6089.76 percentage points).
- Business Quant data shows OPRA's Return on Capital Employed [ROCE] at 9.86% (Q1 2026), 9.17% (Q4 2025) and 9.25% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 284.82 Bn | 269.89 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 261.22 Bn | 241.62 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 131.53 Bn | 117.46 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 113.11 Bn | 100.43 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 96.36 Bn | 78.00 Bn | 881.34 Mn | 0.30% |
| 6 | Zscaler | 40.64 Bn | 26.76 Bn | - | - |
| 7 | Okta | 37.03 Bn | 27.13 Bn | 641.00 Mn | 3.21% |
| 8 | Axon Enterprise | 33.90 Bn | 28.42 Bn | 546.45 Mn | 0.40% |
| 9 | MongoDB | 29.87 Bn | 20.33 Bn | 569.77 Mn | -0.47% |
| 10 | Opera | 1.56 Bn | 833.92 Mn | 114.91 Mn | 10.51% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.51% |
| Mar 31, 2026 | 9.86% |
| Dec 31, 2025 | 9.17% |
| Sep 30, 2025 | 9.25% |
| Jun 30, 2025 | 9.40% |
| Mar 31, 2025 | 9.89% |
| Dec 31, 2024 | 9.89% |
| Sep 30, 2024 | 9.26% |
| Jun 30, 2024 | 8.39% |
| Mar 31, 2024 | 7.44% |
| Dec 31, 2023 | 1,600.72% |
| Sep 30, 2023 | 3,114.13% |
| Jun 30, 2023 | 5,072.84% |
| Mar 31, 2023 | 6,097.20% |
| Dec 31, 2022 | 4,114.49% |
| Sep 30, 2022 | 2,758.87% |
| Jun 30, 2022 | 1,115.27% |
| Mar 31, 2022 | -0.33% |
| Dec 31, 2021 | -0.57% |
| Sep 30, 2021 | -0.68% |
API Access
Opera Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();