Opera (OPRA) Enterprise Value (2018 - 2026)
Opera (OPRA) reported Enterprise Value of $1.63 billion for Q2 2026, up 6.1% from $1.54 billion a year earlier and up 43.6% from the prior quarter.
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Analysis
Opera (OPRA) Enterprise Value (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Opera's Enterprise Value came in at $1.06 billion, down 1.4% year-over-year; for FY2025, it came in at $958.96 million, down 32.6% from FY2024.
- Enterprise Value has a five-year compound annual growth rate of -13.2% (FY2020 to FY2025).
- By year, Enterprise Value came in at $1.42 billion in FY2024 (-36.0%), $2.22 billion in FY2023 (+121.4%), $1 billion in FY2022 (-30.5%) and $1.44 billion in FY2021 (-25.9%).
- Five-year quarterly Enterprise Value spans a low of $798.12 million in Q3 2022 and a high of $3.45 billion in Q2 2023.
- Year over year, Enterprise Value gained in two of the last eight quarters, with an average decline of 20.1%.
- The high point for year-over-year Enterprise Value in five years was Q2 2023 (growth of 316.0%); the low point was Q2 2022 (a decline of 61.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.14 billion (Q1 2026), $958.96 million (Q4 2025) and $1.71 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.09 Bn | 245.16 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 244.26 Bn | 224.66 Bn | 1.10 Bn |
| 3 | Fortinet | 127.58 Bn | 113.51 Bn | 1.64 Bn |
| 4 | Snowflake | 112.93 Bn | 100.25 Bn | 1.04 Bn |
| 5 | Datadog | 97.34 Bn | 78.98 Bn | 881.34 Mn |
| 6 | Zscaler | 37.10 Bn | 23.22 Bn | - |
| 7 | Okta | 36.45 Bn | 26.54 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 32.48 Bn | 27.00 Bn | 546.45 Mn |
| 9 | MongoDB | 31.35 Bn | 21.82 Bn | 569.77 Mn |
| 10 | Opera | 1.61 Bn | 886.76 Mn | 114.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.63 Bn |
| Mar 31, 2026 | 1.13 Bn |
| Dec 31, 2025 | 958.96 Mn |
| Sep 30, 2025 | 1.71 Bn |
| Jun 30, 2025 | 1.54 Bn |
| Mar 31, 2025 | 1.30 Bn |
| Dec 31, 2024 | 1.42 Bn |
| Sep 30, 2024 | 2.60 Bn |
| Jun 30, 2024 | 2.35 Bn |
| Mar 31, 2024 | 2.67 Bn |
| Dec 31, 2023 | 2.22 Bn |
| Sep 30, 2023 | 1.93 Bn |
| Jun 30, 2023 | 3.45 Bn |
| Mar 31, 2023 | 1.73 Bn |
| Dec 31, 2022 | 1.00 Bn |
| Sep 30, 2022 | 798.12 Mn |
| Jun 30, 2022 | 828.71 Mn |
| Mar 31, 2022 | 1.18 Bn |
| Dec 31, 2021 | 1.44 Bn |
| Sep 30, 2021 | 1.83 Bn |
API Access
Opera Enterprise Value 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=enterprise-value&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();