Opera (OPRA) Accounts Payables (2017 - 2026)
Opera's Accounts Payables came in at $92.25 million for Q2 2026, up 16.5% from $79.18 million a year earlier and up 2.7% from the prior quarter.
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Analysis
Opera (OPRA) Accounts Payables (2017 - 2026) Analysis & Trends
At the end of FY2025, Opera's Accounts Payables was $89.52 million, up 18.9% from FY2024.
- Accounts Payables has increased in each of the last five years, with a five-year compound annual growth rate of 28.6% (FY2020 to FY2025).
- Going back by year, Accounts Payables was $75.29 million in FY2024 (+44.1%), $52.25 million in FY2023 (+11.3%), $46.94 million in FY2022 (+22.3%) and $38.38 million in FY2021 (+50.8%).
- The Q2 2026 figure represents the highest quarterly Accounts Payables in data going back to Q3 2017.
- Year-over-year, Accounts Payables has increased for 13 consecutive quarters, with growth averaging 30.5% over the last eight quarters.
- The fastest year-over-year change in Accounts Payables over five years came in Q4 2021 (growth of 50.8%), and the weakest in Q1 2023 (a decline of 10.5%).
- Business Quant data shows OPRA's Accounts Payables at $89.79 million (Q1 2026), $89.52 million (Q4 2025) and $75.08 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 290.00 Mn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 114.49 Mn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 282.50 Mn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 185.25 Mn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 313.53 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | 47.97 Mn |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 10.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 269.96 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 17.69 Mn |
| 10 | Opera | 1.58 Bn | 857.21 Mn | 114.91 Mn | 92.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.25 Mn |
| Mar 31, 2026 | 89.79 Mn |
| Dec 31, 2025 | 89.52 Mn |
| Sep 30, 2025 | 75.08 Mn |
| Jun 30, 2025 | 79.18 Mn |
| Mar 31, 2025 | 68.59 Mn |
| Dec 31, 2024 | 75.29 Mn |
| Sep 30, 2024 | 63.68 Mn |
| Jun 30, 2024 | 52.99 Mn |
| Mar 31, 2024 | 52.72 Mn |
| Dec 31, 2023 | 52.25 Mn |
| Sep 30, 2023 | 46.84 Mn |
| Jun 30, 2023 | 47.24 Mn |
| Mar 31, 2023 | 42.86 Mn |
| Dec 31, 2022 | 46.94 Mn |
| Sep 30, 2022 | 41.01 Mn |
| Jun 30, 2022 | 38.75 Mn |
| Mar 31, 2022 | 47.92 Mn |
| Dec 31, 2021 | 38.38 Mn |
| Sep 30, 2021 | 36.59 Mn |
API Access
Opera Accounts Payables 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=accounts-payables&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();