Opera (OPRA) Return on Sales [ROS] (2017 - 2026)
Opera (OPRA) reported Return on Sales [ROS] of 14.55% for Q2 2026, up 1.88 percentage points from 12.67% a year earlier but down 2.38 percentage points from the prior quarter.
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Analysis
Opera (OPRA) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Opera's Return on Sales [ROS] came in at 15.60%, down 0.61 percentage points year-over-year; for FY2025, it was 14.65%, down 4.55 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +16.13 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 19.20% in FY2024 (+3.35 pp), 15.85% in FY2023 (+3.22 pp), 12.63% in FY2022 (+15.10 pp) and -2.47% in FY2021 (-0.99 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -0.93% in Q3 2021 and a high of 18952.04% in Q3 2022.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of -1.32 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2022 (a gain of 18952.97 percentage points); the low point was Q3 2023 (a drop of 18936.38 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 16.93% (Q1 2026), 16.09% (Q4 2025) and 14.73% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 0.49% |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 13.29% |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 5.17% |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 3.68% |
| 10 | Opera | 1.58 Bn | 854.52 Mn | 114.91 Mn | 14.55% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.55% |
| Mar 31, 2026 | 16.93% |
| Dec 31, 2025 | 16.09% |
| Sep 30, 2025 | 14.73% |
| Jun 30, 2025 | 12.67% |
| Mar 31, 2025 | 14.77% |
| Dec 31, 2024 | 18.90% |
| Sep 30, 2024 | 18.82% |
| Jun 30, 2024 | 20.00% |
| Mar 31, 2024 | 19.22% |
| Dec 31, 2023 | 17.99% |
| Sep 30, 2023 | 15.66% |
| Jun 30, 2023 | 13.32% |
| Mar 31, 2023 | 16,025.09% |
| Dec 31, 2022 | 12,300.57% |
| Sep 30, 2022 | 18,952.04% |
| Jun 30, 2022 | 14,440.99% |
| Mar 31, 2022 | 1.87% |
| Dec 31, 2021 | 5.20% |
| Sep 30, 2021 | -0.93% |
API Access
Opera Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();