Opera (OPRA) Total Current Liabilities (2017 - 2026)
Opera (OPRA) reported Total Current Liabilities of $137.21 million for Q2 2026, up 37.0% from $100.18 million a year earlier but down 2.1% from the prior quarter.
Powered by 
Analysis
Opera (OPRA) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Opera posted Total Current Liabilities of $118.77 million, up 17.5% from FY2024.
- Total Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $101.09 million in FY2024 (+24.2%), $81.41 million in FY2023 (+26.6%), $64.33 million in FY2022 (-9.1%) and $70.79 million in FY2021 (+56.2%).
- Five-year quarterly Total Current Liabilities spans a low of $55.79 million in Q2 2022 and a high of $140.21 million in Q1 2026.
- Year over year, Total Current Liabilities has now increased in each of the last eight quarters, with growth averaging 25.6% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2021 (growth of 77.0%); the low point was Q2 2022 (a decline of 29.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $140.21 million (Q1 2026), $118.77 million (Q4 2025) and $101.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | 2.96 Bn |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 1.40 Bn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 642.37 Mn |
| 10 | Opera | 1.58 Bn | 854.52 Mn | 114.91 Mn | 137.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137.21 Mn |
| Mar 31, 2026 | 140.21 Mn |
| Dec 31, 2025 | 118.77 Mn |
| Sep 30, 2025 | 101.18 Mn |
| Jun 30, 2025 | 100.18 Mn |
| Mar 31, 2025 | 100.94 Mn |
| Dec 31, 2024 | 101.09 Mn |
| Sep 30, 2024 | 91.93 Mn |
| Jun 30, 2024 | 74.35 Mn |
| Mar 31, 2024 | 83.43 Mn |
| Dec 31, 2023 | 81.41 Mn |
| Sep 30, 2023 | 75.61 Mn |
| Jun 30, 2023 | 82.51 Mn |
| Mar 31, 2023 | 65.47 Mn |
| Dec 31, 2022 | 64.33 Mn |
| Sep 30, 2022 | 69.12 Mn |
| Jun 30, 2022 | 55.79 Mn |
| Mar 31, 2022 | 64.17 Mn |
| Dec 31, 2021 | 70.79 Mn |
| Sep 30, 2021 | 77.65 Mn |
API Access
Opera Total Current Liabilities 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=total-current-liabilities&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();