Opera (OPRA) Receivables - Net (2017 - 2026)
Opera (OPRA) posted Receivables - Net of $122.2 million for Q2 2026, up 26.3% from $96.77 million a year earlier and up 13.2% from the prior quarter.
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Analysis
Opera (OPRA) Receivables - Net (2017 - 2026) Analysis & Trends
At the end of FY2025, Opera's Receivables - Net came in at $112.59 million, up 21.3% from FY2024.
- Annual Receivables - Net has increased for five consecutive years, with a five-year compound annual growth rate of 31.3% (FY2020 to FY2025).
- In prior years, Opera's Receivables - Net was $92.82 million in FY2024 (+33.8%), $69.38 million in FY2023 (+19.8%), $57.92 million in FY2022 (+32.1%) and $43.86 million in FY2021 (+52.3%).
- The Q2 2026 figure stands as the highest quarterly Receivables - Net in data going back to Q3 2017.
- On a year-over-year basis, Receivables - Net has increased in each of the last 20 quarters, with growth averaging 32.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Receivables - Net ranged from 4.7% (Q1 2026) to 65.0% (Q1 2025).
- According to Business Quant data, Receivables - Net for the three prior quarters was $107.95 million (Q1 2026), $112.59 million (Q4 2025) and $101.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn |
| 10 | Opera | 1.58 Bn | 857.21 Mn | 114.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 122.20 Mn |
| Mar 31, 2026 | 107.95 Mn |
| Dec 31, 2025 | 112.59 Mn |
| Sep 30, 2025 | 101.27 Mn |
| Jun 30, 2025 | 96.77 Mn |
| Mar 31, 2025 | 103.07 Mn |
| Dec 31, 2024 | 92.82 Mn |
| Sep 30, 2024 | 75.00 Mn |
| Jun 30, 2024 | 65.58 Mn |
| Mar 31, 2024 | 62.45 Mn |
| Dec 31, 2023 | 69.38 Mn |
| Sep 30, 2023 | 60.07 Mn |
| Jun 30, 2023 | 55.27 Mn |
| Mar 31, 2023 | 51.09 Mn |
| Dec 31, 2022 | 57.92 Mn |
| Sep 30, 2022 | 54.44 Mn |
| Jun 30, 2022 | 48.79 Mn |
| Mar 31, 2022 | 43.34 Mn |
| Dec 31, 2021 | 43.86 Mn |
| Sep 30, 2021 | 38.43 Mn |
API Access
Opera Receivables - Net 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=receivables-net&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();