Opera (OPRA) Change in Cash (2017 - 2026)
Opera (OPRA) recorded Change in Cash of $3.45 million in Q2 2026, down 88.4% from $29.78 million a year earlier.
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Analysis
Opera (OPRA) Change in Cash (2017 - 2026) Analysis & Trends
On a TTM basis, Opera's Change in Cash came in at $10.7 million as of Jun 30, 2026, down 61.3% year-over-year; for FY2025, it came in at $26.72 million, down 25.2% from FY2024.
- Across earlier years, Change in Cash came in at $35.72 million in FY2024 (-16.8%), $42.92 million in FY2023, -$49.47 million in FY2022 and -$29.82 million in FY2021.
- Quarterly Change in Cash has ranged from -$114.25 million in Q4 2022 to $36.09 million in Q4 2025 over the past five years.
- On a year-over-year basis, Change in Cash rose in three of the last four quarters, with growth averaging 47.3%.
- Peak year-over-year performance for Change in Cash in the last five years was growth of 114.5% in Q1 2023, against a decline of 88.4% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -$13.76 million (Q1 2026), $36.09 million (Q4 2025) and -$15.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 149.00 Mn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 460.94 Mn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 711.10 Mn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | -376.99 Mn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 8.60 Mn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 1.00 Mn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 138.47 Mn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | -33.95 Mn |
| 10 | Opera | 1.58 Bn | 854.52 Mn | 114.91 Mn | 3.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.45 Mn |
| Mar 31, 2026 | -13.76 Mn |
| Dec 31, 2025 | 36.09 Mn |
| Sep 30, 2025 | -15.09 Mn |
| Jun 30, 2025 | 29.78 Mn |
| Mar 31, 2025 | -24.06 Mn |
| Dec 31, 2024 | 19.08 Mn |
| Sep 30, 2024 | 2.83 Mn |
| Jun 30, 2024 | 14.88 Mn |
| Mar 31, 2024 | -1.06 Mn |
| Dec 31, 2023 | 10.13 Mn |
| Sep 30, 2023 | -13.94 Mn |
| Jun 30, 2023 | 14.32 Mn |
| Mar 31, 2023 | 32.41 Mn |
| Dec 31, 2022 | -114.25 Mn |
| Sep 30, 2022 | 27.44 Mn |
| Jun 30, 2022 | 22.23 Mn |
| Mar 31, 2022 | 15.11 Mn |
| Dec 31, 2021 | 13.44 Mn |
| Sep 30, 2021 | -88.16 Mn |
API Access
Opera Change in Cash 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=change-in-cash&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();