Opera (OPRA) Property, Plant & Equipment (Net) (QoQ) (2017 - 2026)
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Analysis
Opera (OPRA) Property, Plant & Equipment (Net) (QoQ) (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.08% |
| Mar 31, 2026 | 2.25% |
| Dec 31, 2025 | 0.94% |
| Sep 30, 2025 | -4.45% |
| Jun 30, 2025 | 3.20% |
| Mar 31, 2025 | -3.41% |
| Dec 31, 2024 | -1.25% |
| Sep 30, 2024 | -1.56% |
| Jun 30, 2024 | -4.74% |
| Mar 31, 2024 | 128.82% |
| Dec 31, 2023 | 10.36% |
| Sep 30, 2023 | 5.15% |
| Jun 30, 2023 | 5.07% |
| Mar 31, 2023 | -9.85% |
| Dec 31, 2022 | 29.02% |
| Sep 30, 2022 | -0.09% |
| Jun 30, 2022 | 3.34% |
| Mar 31, 2022 | -10.49% |
| Dec 31, 2021 | -10.82% |
| Sep 30, 2021 | -7.38% |
API Access
Opera Property, Plant & Equipment (Net) (QoQ) 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-qoq&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net-qoq", "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-qoq&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();