Oracle Corp (ORCL-PD) Buildings (2010 - 2026)
Oracle's (ORCL-PD) quarterly Buildings came in at $25.5 billion in Q3 2026, up 20.11% on a QoQ basis from $21.3 billion in Q2 2026.
Analysis
Oracle Corp (ORCL-PD) Buildings (2010 - 2026) Analysis & Trends
Oracle (ORCL-PD) has 17 years of Buildings data on file, last reported at $25.5 billion in Q3 2026.
- On a quarterly basis, Buildings changed N/A year-over-year to $25.5 billion in Q3 2026; TTM through Aug 2026 was $25.5 billion, a N/A change from a year earlier, with the FY2026 full-year figure at $21.3 billion, up 95.41% from the prior year.
- Buildings for Q3 2026 stood at $25.5 billion, up from $21.3 billion in the prior quarter.
- Across five years, Buildings topped out at $25.5 billion in Q3 2026 and bottomed at $4.7 billion in Q2 2022.
- Historically, Buildings has averaged $12.5 billion across 5 years, with a median of $8.7 billion in 2024.
- The widest annual swing landed in 2022, when Buildings dropped 0.11%; it then jumped 95.41% in 2026.
- Year by year, Buildings stood at $4.7 billion in 2022, then climbed by 24.34% to $5.9 billion in 2023, then grew by 10.43% to $6.5 billion in 2024, then jumped by 67.58% to $10.9 billion in 2025, then surged by 134.71% to $25.5 billion in 2026.
- Per Business Quant data, the three most recent Buildings figures were $25.5 billion in Q3 2026, $21.3 billion in Q2 2026, and $10.9 billion in Q2 2025.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 25.54 Bn |
| May 31, 2026 | 21.26 Bn |
| May 31, 2025 | 10.88 Bn |
| May 31, 2024 | 6.49 Bn |
| May 31, 2023 | 5.88 Bn |
| May 31, 2022 | 4.73 Bn |
| May 31, 2021 | 4.73 Bn |
| May 31, 2020 | 4.39 Bn |
| May 31, 2019 | 4.25 Bn |
| May 31, 2018 | 3.89 Bn |
| May 31, 2017 | 3.47 Bn |
| May 31, 2016 | 2.75 Bn |
| May 31, 2015 | 2.72 Bn |
| May 31, 2014 | 2.58 Bn |
| May 31, 2013 | 2.48 Bn |
| May 31, 2012 | 2.35 Bn |
| May 31, 2011 | 2.25 Bn |
| May 31, 2010 | 2.00 Bn |
API Access
Oracle Corp Buildings 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=buildings&ticker=ORCL-PD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=ORCL-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();