Opera (OPRA) Property, Plant & Equipment (Net) Growth (3y) (2019 - 2026)
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Analysis
Opera (OPRA) Property, Plant & Equipment (Net) Growth (3y) (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.35% |
| Mar 31, 2026 | 36.43% |
| Dec 31, 2025 | 30.83% |
| Sep 30, 2025 | 41.98% |
| Jun 30, 2025 | 44.11% |
| Mar 31, 2025 | 44.18% |
| Dec 31, 2024 | 40.56% |
| Sep 30, 2024 | 35.87% |
| Jun 30, 2024 | 33.14% |
| Mar 31, 2024 | 30.24% |
| Dec 31, 2023 | -74.11% |
| Sep 30, 2023 | -9.36% |
| Jun 30, 2023 | -15.91% |
| Mar 31, 2023 | -19.24% |
| Dec 31, 2022 | -17.51% |
| Sep 30, 2022 | -25.75% |
| Jun 30, 2022 | -25.43% |
| Mar 31, 2022 | -25.26% |
| Dec 31, 2021 | 0.28% |
| Sep 30, 2021 | 3.52% |
API Access
Opera Property, Plant & Equipment (Net) Growth (3y) 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-3y&ticker=OPRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net-growth-3y", "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-3y&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();