Oracle Corp (ORCL-PD) Property, Plant & Equipment (Net) (QoQ) (2009 - 2026)
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Analysis
Oracle Corp (ORCL-PD) Property, Plant & Equipment (Net) (QoQ) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 27.90% |
| May 31, 2026 | 59.37% |
| Feb 28, 2026 | 23.19% |
| Nov 30, 2025 | 27.60% |
| Aug 31, 2025 | -11.55% |
| May 31, 2025 | 88.12% |
| Feb 28, 2025 | 20.95% |
| Nov 30, 2024 | 14.45% |
| Aug 31, 2024 | -28.41% |
| May 31, 2024 | 68.75% |
| Feb 29, 2024 | 6.15% |
| Nov 30, 2023 | 2.07% |
| Aug 31, 2023 | -30.98% |
| May 31, 2023 | 56.40% |
| Feb 28, 2023 | 13.89% |
| Nov 30, 2022 | 16.86% |
| Aug 31, 2022 | -23.93% |
| May 31, 2022 | 87.52% |
| Feb 28, 2022 | 7.22% |
| Nov 30, 2021 | 5.51% |
API Access
Oracle Corp 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=ORCL-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net-qoq", "ticker": "ORCL-PD", "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=ORCL-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();