Opera (OPRA) Cash from Operations (2017 - 2026)
Opera (OPRA) reported Cash from Operations of $22.19 million for Q2 2026, down 33.0% from $33.12 million a year earlier and down 47.3% from the prior quarter.
Opera (OPRA) Cash from Operations (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Opera's Cash from Operations came in at $133 million, up 25.9% year-over-year; for FY2025, it came in at $117.73 million, up 12.1% from FY2024.
- Cash from Operations has increased for four consecutive years, with a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- By year, Cash from Operations came in at $104.98 million in FY2024 (+26.8%), $82.76 million in FY2023 (+46.1%), $56.66 million in FY2022 (+113.3%) and $26.56 million in FY2021 (-71.5%).
- The Q2 2026 figure ranks as the lowest quarterly Cash from Operations since Q1 2025.
- Year over year, Cash from Operations gained in four of the last eight quarters, with growth averaging 42.6%.
- The high point for year-over-year Cash from Operations in five years was Q2 2023 (growth of 855.5%); the low point was Q2 2022 (a decline of 74.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $42.15 million (Q1 2026), $40.21 million (Q4 2025) and $28.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 267.98 Bn | 253.06 Bn | 2.30 Bn | 1.36 Bn |
| 2 | CrowdStrike Holdings | 243.51 Bn | 223.91 Bn | 1.10 Bn | 530.27 Mn |
| 3 | Fortinet | 127.21 Bn | 113.14 Bn | 1.64 Bn | 1.04 Bn |
| 4 | Snowflake | 109.61 Bn | 96.93 Bn | 1.04 Bn | 91.36 Mn |
| 5 | Datadog | 93.89 Bn | 75.53 Bn | 881.34 Mn | 315.87 Mn |
| 6 | Zscaler | 37.97 Bn | 24.09 Bn | - | - |
| 7 | Okta | 35.48 Bn | 25.58 Bn | 641.00 Mn | 234.00 Mn |
| 8 | Axon Enterprise | 32.78 Bn | 27.31 Bn | 546.45 Mn | 20.08 Mn |
| 9 | MongoDB | 29.58 Bn | 20.05 Bn | 569.77 Mn | 141.88 Mn |
| 10 | Opera | 1.59 Bn | 865.27 Mn | 114.91 Mn | 22.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.19 Mn |
| Mar 31, 2026 | 42.15 Mn |
| Dec 31, 2025 | 40.21 Mn |
| Sep 30, 2025 | 28.45 Mn |
| Jun 30, 2025 | 33.12 Mn |
| Mar 31, 2025 | 15.95 Mn |
| Dec 31, 2024 | 21.64 Mn |
| Sep 30, 2024 | 34.90 Mn |
| Jun 30, 2024 | 17.42 Mn |
| Mar 31, 2024 | 31.02 Mn |
| Dec 31, 2023 | 25.28 Mn |
| Sep 30, 2023 | 16.23 Mn |
| Jun 30, 2023 | 15.52 Mn |
| Mar 31, 2023 | 25.73 Mn |
| Dec 31, 2022 | 23.54 Mn |
| Sep 30, 2022 | 18.03 Mn |
| Jun 30, 2022 | 1.62 Mn |
| Mar 31, 2022 | 13.46 Mn |
| Dec 31, 2021 | 16.47 Mn |
| Sep 30, 2021 | -3.44 Mn |
Opera Cash from Operations 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=cash-from-operations&ticker=OPRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();