Opera (OPRA) Prepaid Assets (2017 - 2026)
Opera (OPRA) posted Prepaid Assets of $6.66 million for Q2 2026, up 13.0% from $5.89 million a year earlier but down 1.5% from the prior quarter.
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Analysis
Opera (OPRA) Prepaid Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Opera's Prepaid Assets came in at $4.37 million, down 43.5% from FY2024.
- Annual Prepaid Assets shows a five-year compound annual growth rate of -13.6% (FY2020 to FY2025).
- In prior years, Opera's Prepaid Assets was $7.72 million in FY2024 (+65.8%), $4.66 million in FY2023 (+18.5%), $3.93 million in FY2022 (-57.2%) and $9.19 million in FY2021 (+1.4%).
- Quarterly Prepaid Assets has run from a low of $3.87 million in Q2 2024 to a high of $10.6 million in Q3 2021 over five years.
- On a year-over-year basis, Prepaid Assets increased in four of the last eight quarters, with growth averaging 4.3%.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was Q1 2024, with growth of 83.4%; the weakest was Q4 2022, with a decline of 57.2%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $6.76 million (Q1 2026), $4.37 million (Q4 2025) and $5.94 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 267.38 Bn | 252.45 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 243.22 Bn | 223.62 Bn | 1.10 Bn |
| 3 | Fortinet | 127.18 Bn | 113.11 Bn | 1.64 Bn |
| 4 | Snowflake | 109.55 Bn | 96.87 Bn | 1.04 Bn |
| 5 | Datadog | 91.85 Bn | 73.49 Bn | 881.34 Mn |
| 6 | Zscaler | 38.03 Bn | 24.15 Bn | - |
| 7 | Okta | 35.05 Bn | 25.14 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 33.28 Bn | 27.81 Bn | 546.45 Mn |
| 9 | MongoDB | 29.21 Bn | 19.68 Bn | 569.77 Mn |
| 10 | Opera | 1.58 Bn | 862.58 Mn | 114.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.66 Mn |
| Mar 31, 2026 | 6.76 Mn |
| Dec 31, 2025 | 4.37 Mn |
| Sep 30, 2025 | 5.94 Mn |
| Jun 30, 2025 | 5.89 Mn |
| Mar 31, 2025 | 6.55 Mn |
| Dec 31, 2024 | 7.72 Mn |
| Sep 30, 2024 | 8.26 Mn |
| Jun 30, 2024 | 3.87 Mn |
| Mar 31, 2024 | 7.23 Mn |
| Dec 31, 2023 | 4.66 Mn |
| Sep 30, 2023 | 10.23 Mn |
| Jun 30, 2023 | 8.25 Mn |
| Mar 31, 2023 | 3.94 Mn |
| Dec 31, 2022 | 3.93 Mn |
| Sep 30, 2022 | 7.22 Mn |
| Jun 30, 2022 | 7.64 Mn |
| Mar 31, 2022 | 7.68 Mn |
| Dec 31, 2021 | 9.19 Mn |
| Sep 30, 2021 | 10.60 Mn |
API Access
Opera Prepaid Assets 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=prepaid-assets&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();