Oracle Corp (ORCL-PD) Property, Plant & Equipment (Net) Growth (1y) (2010 - 2026)
Analysis
Oracle Corp (ORCL-PD) Property, Plant & Equipment (Net) Growth (1y) (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 140.34% |
| May 31, 2026 | 121.58% |
| Feb 28, 2026 | 161.55% |
| Nov 30, 2025 | 156.79% |
| Aug 31, 2025 | 130.34% |
| May 31, 2025 | 86.43% |
| Feb 28, 2025 | 67.23% |
| Nov 30, 2024 | 46.77% |
| Aug 31, 2024 | 30.89% |
| May 31, 2024 | 26.20% |
| Feb 29, 2024 | 16.96% |
| Nov 30, 2023 | 25.49% |
| Aug 31, 2023 | 43.68% |
| May 31, 2023 | 58.34% |
| Feb 28, 2023 | 89.86% |
| Nov 30, 2022 | 78.74% |
| Aug 31, 2022 | 61.37% |
| May 31, 2022 | 41.80% |
| Feb 28, 2022 | 26.31% |
| Nov 30, 2021 | 21.16% |
API Access
Oracle Corp 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=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-1y", "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-1y&ticker=ORCL-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();