Opera (OPRA) Cash & Equivalents (2016 - 2026)
Opera's Cash & Equivalents came in at $145.21 million for Q2 2026, up 8.5% from $133.82 million a year earlier and up 2.3% from the prior quarter.
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Analysis
Opera (OPRA) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, Opera's Cash & Equivalents was $155.47 million, up 22.6% from FY2024.
- Cash & Equivalents has increased in each of the last three years, with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $126.8 million in FY2024 (+35.1%), $93.86 million in FY2023 (+79.1%), $52.41 million in FY2022 (-49.1%) and $102.88 million in FY2021 (-23.3%).
- The five-year range for quarterly Cash & Equivalents is $52.41 million (Q4 2022) to $166.07 million (Q3 2022).
- Year-over-year, Cash & Equivalents has increased for 11 consecutive quarters, with growth averaging 23.0% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2022 (growth of 84.6%), and the weakest in Q3 2023 (a decline of 49.7%).
- Business Quant data shows OPRA's Cash & Equivalents at $141.9 million (Q1 2026), $155.47 million (Q4 2025) and $119.04 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 284.97 Bn | 270.04 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 261.98 Bn | 242.38 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 131.71 Bn | 117.64 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 113.17 Bn | 100.49 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 96.06 Bn | 77.70 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Zscaler | 40.62 Bn | 26.74 Bn | - | 928.35 Mn |
| 7 | Okta | 36.94 Bn | 27.03 Bn | 641.00 Mn | 763.00 Mn |
| 8 | Axon Enterprise | 33.87 Bn | 28.40 Bn | 546.45 Mn | 597.70 Mn |
| 9 | MongoDB | 29.79 Bn | 20.26 Bn | 569.77 Mn | 1.00 Bn |
| 10 | Opera | 1.55 Bn | 831.24 Mn | 114.91 Mn | 145.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 145.21 Mn |
| Mar 31, 2026 | 141.90 Mn |
| Dec 31, 2025 | 155.47 Mn |
| Sep 30, 2025 | 119.04 Mn |
| Jun 30, 2025 | 133.82 Mn |
| Mar 31, 2025 | 103.55 Mn |
| Dec 31, 2024 | 126.80 Mn |
| Sep 30, 2024 | 106.01 Mn |
| Jun 30, 2024 | 104.36 Mn |
| Mar 31, 2024 | 91.34 Mn |
| Dec 31, 2023 | 93.86 Mn |
| Sep 30, 2023 | 83.51 Mn |
| Jun 30, 2023 | 98.16 Mn |
| Mar 31, 2023 | 84.84 Mn |
| Dec 31, 2022 | 52.41 Mn |
| Sep 30, 2022 | 166.07 Mn |
| Jun 30, 2022 | 139.40 Mn |
| Mar 31, 2022 | 117.79 Mn |
| Dec 31, 2021 | 102.88 Mn |
| Sep 30, 2021 | 89.96 Mn |
API Access
Opera Cash & Equivalents 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=cash-and-equivalents&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();