Oracle Corp (ORCL-PD) Property, Plant & Equipment (Net) (2009 - 2026)
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Analysis
Oracle Corp (ORCL-PD) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 127.85 Bn |
| May 31, 2026 | 133.26 Bn |
| Feb 28, 2026 | 83.62 Bn |
| Nov 30, 2025 | 67.88 Bn |
| Aug 31, 2025 | 53.19 Bn |
| May 31, 2025 | 60.14 Bn |
| Feb 28, 2025 | 31.97 Bn |
| Nov 30, 2024 | 26.43 Bn |
| Aug 31, 2024 | 23.09 Bn |
| May 31, 2024 | 32.26 Bn |
| Feb 29, 2024 | 19.12 Bn |
| Nov 30, 2023 | 18.01 Bn |
| Aug 31, 2023 | 17.64 Bn |
| May 31, 2023 | 25.56 Bn |
| Feb 28, 2023 | 16.35 Bn |
| Nov 30, 2022 | 14.35 Bn |
| Aug 31, 2022 | 12.28 Bn |
| May 31, 2022 | 16.14 Bn |
| Feb 28, 2022 | 8.61 Bn |
| Nov 30, 2021 | 8.03 Bn |
API Access
Oracle Corp 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=ORCL-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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&ticker=ORCL-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();