Opera (OPRA) Non-Current Deferred Tax Liability (2017 - 2026)
Opera (OPRA) posted Non-Current Deferred Tax Liability of $8.3 million for Q2 2026, down 2.1% from $8.49 million a year earlier but up 7.1% from the prior quarter.
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Analysis
Opera (OPRA) Non-Current Deferred Tax Liability (2017 - 2026) Analysis & Trends
At the end of FY2025, Opera's Non-Current Deferred Tax Liability came in at $9.21 million, up 6.0% from FY2024.
- Annual Non-Current Deferred Tax Liability shows a five-year compound annual growth rate of -4.7% (FY2020 to FY2025).
- In prior years, Opera's Non-Current Deferred Tax Liability was $8.69 million in FY2024 (+208.9%), $2.81 million in FY2023 (-61.7%), $7.35 million in FY2022 (+12.6%) and $6.53 million in FY2021 (-44.4%).
- Quarterly Non-Current Deferred Tax Liability has run from a low of $232,000 in Q3 2023 to a high of $10.65 million in Q3 2021 over five years.
- On a year-over-year basis, Non-Current Deferred Tax Liability increased in six of the last seven quarters, with growth averaging 57.3%.
- The strongest year-over-year quarter for Non-Current Deferred Tax Liability in the past five years was Q4 2024, with growth of 208.9%; the weakest was Q3 2023, with a decline of 97.4%.
- According to Business Quant data, Non-Current Deferred Tax Liability for the three prior quarters was $7.75 million (Q1 2026), $9.21 million (Q4 2025) and $6.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 256.54 Bn | 241.61 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 231.45 Bn | 211.85 Bn | 1.10 Bn |
| 3 | Fortinet | 125.93 Bn | 111.86 Bn | 1.64 Bn |
| 4 | Snowflake | 111.94 Bn | 99.26 Bn | 1.04 Bn |
| 5 | Datadog | 91.37 Bn | 73.01 Bn | 881.34 Mn |
| 6 | Zscaler | 34.08 Bn | 20.20 Bn | - |
| 7 | Okta | 33.15 Bn | 23.24 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 31.95 Bn | 26.48 Bn | 546.45 Mn |
| 9 | MongoDB | 28.99 Bn | 19.45 Bn | 569.77 Mn |
| 10 | Opera | 1.60 Bn | 877.81 Mn | 114.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.30 Mn |
| Mar 31, 2026 | 7.75 Mn |
| Dec 31, 2025 | 9.21 Mn |
| Sep 30, 2025 | 6.30 Mn |
| Jun 30, 2025 | 8.49 Mn |
| Mar 31, 2025 | 7.06 Mn |
| Dec 31, 2024 | 8.69 Mn |
| Sep 30, 2024 | 3.54 Mn |
| Jun 30, 2024 | 5.03 Mn |
| Mar 31, 2024 | 5.37 Mn |
| Dec 31, 2023 | 2.81 Mn |
| Sep 30, 2023 | 232,000.00 |
| Jun 30, 2023 | 4.21 Mn |
| Mar 31, 2023 | 8.09 Mn |
| Dec 31, 2022 | 7.35 Mn |
| Sep 30, 2022 | 8.98 Mn |
| Jun 30, 2022 | 7.88 Mn |
| Mar 31, 2022 | 6.29 Mn |
| Dec 31, 2021 | 6.53 Mn |
| Sep 30, 2021 | 10.65 Mn |
API Access
Opera Non-Current Deferred Tax Liability 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=non-current-deferred-tax-liability&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deferred-tax-liability", "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=non-current-deferred-tax-liability&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();