Opera (OPRA) Property, Plant & Equipment (Net) (2016 - 2026)
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Analysis
Opera (OPRA) Property, Plant & Equipment (Net) (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.11 Mn |
| Mar 31, 2026 | 33.48 Mn |
| Dec 31, 2025 | 32.74 Mn |
| Sep 30, 2025 | 32.44 Mn |
| Jun 30, 2025 | 33.95 Mn |
| Mar 31, 2025 | 32.90 Mn |
| Dec 31, 2024 | 34.06 Mn |
| Sep 30, 2024 | 34.49 Mn |
| Jun 30, 2024 | 35.04 Mn |
| Mar 31, 2024 | 36.78 Mn |
| Dec 31, 2023 | 16.07 Mn |
| Sep 30, 2023 | 14.57 Mn |
| Jun 30, 2023 | 13.85 Mn |
| Mar 31, 2023 | 13.18 Mn |
| Dec 31, 2022 | 14.62 Mn |
| Sep 30, 2022 | 11.33 Mn |
| Jun 30, 2022 | 11.34 Mn |
| Mar 31, 2022 | 10.98 Mn |
| Dec 31, 2021 | 12.26 Mn |
| Sep 30, 2021 | 13.75 Mn |
API Access
Opera Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();