Opera (OPRA) Current Taxes (2017 - 2026)
Opera (OPRA) posted Current Taxes of $8.07 million for Q2 2026, up 224.4% from $2.49 million a year earlier but down 21.0% from the prior quarter.
Analysis
Opera (OPRA) Current Taxes (2017 - 2026) Analysis & Trends
At the end of FY2025, Opera's Current Taxes came in at $6.61 million, up 107.2% from FY2024.
- Annual Current Taxes has increased for four consecutive years, with a five-year compound annual growth rate of 43.3% (FY2020 to FY2025).
- In prior years, Opera's Current Taxes was $3.19 million in FY2024 (+73.6%), $1.84 million in FY2023 (+62.2%), $1.13 million in FY2022 (+48.5%) and $763,000 in FY2021 (-30.3%).
- Quarterly Current Taxes has run from a low of $763,000 in Q4 2021 to a high of $10.37 million in Q3 2023 over five years.
- On a year-over-year basis, Current Taxes has increased in each of the last three quarters, with growth averaging 51.8% over the last eight quarters.
- The strongest year-over-year quarter for Current Taxes in the past five years was Q3 2022, with growth of 816.6%; the weakest was Q2 2024, with a decline of 43.8%.
- According to Business Quant data, Current Taxes for the three prior quarters was $10.21 million (Q1 2026), $6.61 million (Q4 2025) and $6.58 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 256.70 Bn | 241.78 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 232.16 Bn | 212.56 Bn | 1.10 Bn | - |
| 3 | Fortinet | 126.25 Bn | 112.18 Bn | 1.64 Bn | - |
| 4 | Snowflake | 111.32 Bn | 98.64 Bn | 1.04 Bn | - |
| 5 | Datadog | 91.63 Bn | 73.27 Bn | 881.34 Mn | - |
| 6 | Zscaler | 34.03 Bn | 20.15 Bn | - | - |
| 7 | Okta | 33.33 Bn | 23.42 Bn | 641.00 Mn | - |
| 8 | Axon Enterprise | 31.78 Bn | 26.30 Bn | 546.45 Mn | - |
| 9 | MongoDB | 28.86 Bn | 19.33 Bn | 569.77 Mn | - |
| 10 | Opera | 1.60 Bn | 877.81 Mn | 114.91 Mn | 8.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.07 Mn |
| Mar 31, 2026 | 10.21 Mn |
| Dec 31, 2025 | 6.61 Mn |
| Sep 30, 2025 | 6.58 Mn |
| Jun 30, 2025 | 2.49 Mn |
| Mar 31, 2025 | 7.50 Mn |
| Dec 31, 2024 | 3.19 Mn |
| Sep 30, 2024 | 8.18 Mn |
| Jun 30, 2024 | 3.50 Mn |
| Mar 31, 2024 | 5.27 Mn |
| Dec 31, 2023 | 1.84 Mn |
| Sep 30, 2023 | 10.37 Mn |
| Jun 30, 2023 | 6.23 Mn |
| Mar 31, 2023 | 3.33 Mn |
| Dec 31, 2022 | 1.13 Mn |
| Sep 30, 2022 | 7.08 Mn |
| Jun 30, 2022 | 3.58 Mn |
| Mar 31, 2022 | 1.52 Mn |
| Dec 31, 2021 | 763,000.00 |
| Sep 30, 2021 | 772,000.00 |
API Access
Opera Current Taxes 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=current-taxes&ticker=OPRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "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=current-taxes&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();