Opera (OPRA) Operating Leases (2018 - 2026)
Opera's Operating Leases was $3.24 million in Q2 2026, down 38.4% from $5.25 million a year earlier and down 19.1% from the prior quarter.
Analysis
Opera (OPRA) Operating Leases (2018 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Opera came in at $4.54 million, down 19.3% from FY2024.
- In earlier years, Operating Leases was $5.63 million in FY2024 (-16.9%) and $6.78 million in FY2023.
- The Q2 2026 figure marks the lowest quarterly Operating Leases since Q4 2018.
- Compared with a year earlier, Operating Leases has declined for five straight quarters, with an average decline of 21.4% over the last six quarters.
- Per Business Quant data, OPRA's Operating Leases in the three quarters before Q2 2026 was $4 million (Q1 2026), $4.54 million (Q4 2025) and $4.66 million (Q3 2025).
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 |
|---|---|
| Jun 30, 2026 | 3.24 Mn |
| Mar 31, 2026 | 4.00 Mn |
| Dec 31, 2025 | 4.54 Mn |
| Sep 30, 2025 | 4.66 Mn |
| Jun 30, 2025 | 5.25 Mn |
| Mar 31, 2025 | 5.46 Mn |
| Dec 31, 2024 | 5.63 Mn |
| Sep 30, 2024 | 5.44 Mn |
| Jun 30, 2024 | 6.04 Mn |
| Dec 31, 2023 | 6.78 Mn |
| Jun 30, 2019 | 10.05 Mn |
| Mar 31, 2019 | 11.98 Mn |
| Dec 31, 2018 | 2.27 Mn |
API Access
Opera Operating Leases 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=operating-leases&ticker=OPRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();