Opera (OPRA) Other Accumulated Expenses (2017 - 2018)
Opera (OPRA) posted Other Accumulated Expenses of -$1.12 million for Q3 2021, compared with -$3.2 million a year earlier.
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Analysis
Opera (OPRA) Other Accumulated Expenses (2017 - 2018) Analysis & Trends
At the end of FY2020, Opera's Other Accumulated Expenses came in at $1.62 million, up 128.9% from FY2019.
- Annual Other Accumulated Expenses shows a three-year compound annual growth rate of -8.0% (FY2017 to FY2020).
- In prior years, Opera's Other Accumulated Expenses was $706,000 in FY2019 (-71.6%), $2.49 million in FY2018 (+20.1%) and $2.07 million in FY2017.
- Quarterly Other Accumulated Expenses has run from a low of -$4.78 million in Q1 2020 to a high of $6.99 million in Q2 2019 over five years.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was -$1.63 million (Q2 2021), $248,000 (Q1 2021) and $1.62 million (Q4 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn |
| 10 | Opera | 1.58 Bn | 854.52 Mn | 114.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 2.31 Mn |
| Jun 30, 2018 | 3.02 Mn |
| Dec 31, 2017 | 2.07 Mn |
| Sep 30, 2017 | 2.45 Mn |
API Access
Opera Other Accumulated Expenses 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=other-accumulated-expenses&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();