Opera (OPRA) Property, Plant & Equipment (Net) Growth (1y) (2017 - 2026)
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Analysis
Opera (OPRA) Property, Plant & Equipment (Net) Growth (1y) (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.41% |
| Mar 31, 2026 | 1.77% |
| Dec 31, 2025 | -3.86% |
| Sep 30, 2025 | -5.95% |
| Jun 30, 2025 | -3.11% |
| Mar 31, 2025 | -10.56% |
| Dec 31, 2024 | 111.88% |
| Sep 30, 2024 | 136.80% |
| Jun 30, 2024 | 152.95% |
| Mar 31, 2024 | 179.00% |
| Dec 31, 2023 | 9.92% |
| Sep 30, 2023 | 28.51% |
| Jun 30, 2023 | 22.11% |
| Mar 31, 2023 | 20.10% |
| Dec 31, 2022 | 19.24% |
| Sep 30, 2022 | -17.58% |
| Jun 30, 2022 | -23.59% |
| Mar 31, 2022 | -34.07% |
| Dec 31, 2021 | -98.68% |
| Sep 30, 2021 | -29.68% |
API Access
Opera Property, Plant & Equipment (Net) Growth (1y) 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-growth-1y&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net-growth-1y", "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-growth-1y&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();