Opera (OPRA) Retained Earnings (2017 - 2026)
Opera (OPRA) recorded Retained Earnings of $741.19 million in Q2 2026, up 26.8% from $584.57 million a year earlier and up 5.0% from the prior quarter.
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Analysis
Opera (OPRA) Retained Earnings (2017 - 2026) Analysis & Trends
At the end of FY2025, Opera reported Retained Earnings of $674.74 million, up 25.7% from FY2024.
- Annual Retained Earnings has increased for four straight years, with a five-year compound annual growth rate of 19.0% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $536.62 million in FY2024 (+20.5%), $445.16 million in FY2023 (+62.9%), $273.26 million in FY2022 (+9.7%) and $249.16 million in FY2021 (-12.1%).
- The Q2 2026 figure is the highest quarterly Retained Earnings in data going back to Q3 2017.
- On a year-over-year basis, Retained Earnings has increased for 11 consecutive quarters, with growth averaging 35.8% over the last eight quarters.
- Peak year-over-year performance for Retained Earnings in the last five years was growth of 135.8% in Q2 2024, against a decline of 30.6% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $705.71 million (Q1 2026), $674.74 million (Q4 2025) and $612.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 2.79 Bn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | -1.25 Bn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | -316.70 Mn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | -10.28 Bn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 234.92 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | -1.25 Bn |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | -2.38 Bn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 1.14 Bn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | -1.87 Bn |
| 10 | Opera | 1.58 Bn | 857.21 Mn | 114.91 Mn | 741.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 741.19 Mn |
| Mar 31, 2026 | 705.71 Mn |
| Dec 31, 2025 | 674.74 Mn |
| Sep 30, 2025 | 612.14 Mn |
| Jun 30, 2025 | 584.57 Mn |
| Mar 31, 2025 | 560.34 Mn |
| Dec 31, 2024 | 536.62 Mn |
| Sep 30, 2024 | 506.11 Mn |
| Jun 30, 2024 | 482.93 Mn |
| Mar 31, 2024 | 462.72 Mn |
| Dec 31, 2023 | 445.16 Mn |
| Sep 30, 2023 | 225.94 Mn |
| Jun 30, 2023 | 204.78 Mn |
| Mar 31, 2023 | 220.92 Mn |
| Dec 31, 2022 | 273.26 Mn |
| Sep 30, 2022 | 248.50 Mn |
| Jun 30, 2022 | 237.37 Mn |
| Mar 31, 2022 | 241.69 Mn |
| Dec 31, 2021 | 249.16 Mn |
| Sep 30, 2021 | 357.87 Mn |
API Access
Opera Retained Earnings 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=retained-earnings&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();