Opera (OPRA) Long-Term Investments (2016 - 2026)
Opera (OPRA) recorded Long-Term Investments of $300.9 million in Q2 2026, up 16.5% from $258.3 million a year earlier and up 2.1% from the prior quarter.
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Analysis
Opera (OPRA) Long-Term Investments (2016 - 2026) Analysis & Trends
At the end of FY2025, Opera reported Long-Term Investments of $294.6 million, up 14.1% from FY2024.
- Annual Long-Term Investments has a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- Across earlier years, Long-Term Investments came in at $258.3 million in FY2024 (+2.0%), $253.3 million in FY2023, -$1.5 million in FY2022 and $6,000 in FY2021 (-100.0%).
- The Q2 2026 figure is the highest quarterly Long-Term Investments since Q3 2021.
- On a year-over-year basis, Long-Term Investments has increased for six consecutive quarters, with growth averaging 8.4% over the last six quarters.
- Peak year-over-year performance for Long-Term Investments in the last five years was growth of 16.5% in Q2 2026, against a decline of 100.0% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $294.6 million (Q1 2026), $294.6 million (Q4 2025) and $258.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 4.84 Bn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 69.26 Mn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 399.10 Mn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 1.98 Bn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | - |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | - |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 853.84 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | - |
| 10 | Opera | 1.58 Bn | 857.21 Mn | 114.91 Mn | 6.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.12 Mn |
| Mar 31, 2026 | 5.25 Mn |
| Dec 31, 2025 | 4.02 Mn |
| Sep 30, 2025 | 3.72 Mn |
| Jun 30, 2025 | 2.48 Mn |
| Mar 31, 2025 | 2.49 Mn |
| Dec 31, 2024 | 1.25 Mn |
| Sep 30, 2024 | 253.30 Mn |
| Jun 30, 2024 | 253.30 Mn |
| Mar 31, 2024 | 253.30 Mn |
| Dec 31, 2023 | 253.30 Mn |
| Dec 31, 2021 | 6,000.00 |
| Sep 30, 2021 | 397.95 Mn |
| Jun 30, 2021 | 372.42 Mn |
| Mar 31, 2021 | 370.39 Mn |
| Sep 30, 2020 | 346.85 Mn |
| Jun 30, 2020 | 80.81 Mn |
| Mar 31, 2020 | 75.62 Mn |
| Dec 31, 2019 | 65.53 Mn |
| Sep 30, 2019 | 67.56 Mn |
API Access
Opera Long-Term Investments 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=long-term-investments&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();