Oracle Corp (ORCL-PD) Property, Plant & Equipment (Net) Growth (5y) (2014 - 2026)
Analysis
Oracle Corp (ORCL-PD) Property, Plant & Equipment (Net) Growth (5y) (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 75.82% |
| May 31, 2026 | 63.56% |
| Feb 28, 2026 | 65.10% |
| Nov 30, 2025 | 59.25% |
| Aug 31, 2025 | 52.73% |
| May 31, 2025 | 44.03% |
| Feb 28, 2025 | 38.61% |
| Nov 30, 2024 | 33.34% |
| Aug 31, 2024 | 29.82% |
| May 31, 2024 | 32.60% |
| Feb 29, 2024 | 25.27% |
| Nov 30, 2023 | 24.57% |
| Aug 31, 2023 | 24.42% |
| May 31, 2023 | 28.30% |
| Feb 28, 2023 | 22.59% |
| Nov 30, 2022 | 19.59% |
| Aug 31, 2022 | 17.06% |
| May 31, 2022 | 19.13% |
| Feb 28, 2022 | 11.17% |
| Nov 30, 2021 | 10.46% |
API Access
Oracle Corp Property, Plant & Equipment (Net) Growth (5y) 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-5y&ticker=ORCL-PD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net-growth-5y", "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-growth-5y&ticker=ORCL-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();