Oracle (ORCL) Buildings (2010 - 2026)
Oracle (ORCL) recorded Buildings of $25.54 billion in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 20.1% from the prior quarter.
Analysis
Oracle (ORCL) Buildings (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Oracle reported Buildings of $21.26 billion, up 95.4% from FY2025.
- Annual Buildings has increased for four straight fiscal years, with a five-year compound annual growth rate of 35.0% (FY2021 to FY2026).
- Across earlier fiscal years, Buildings came in at $10.88 billion in FY2025 (+67.6%), $6.49 billion in FY2024 (+10.4%), $5.88 billion in FY2023 (+24.3%) and $4.73 billion in FY2022 (-0.1%).
- The fiscal Q1 2027 figure is the highest quarterly Buildings in data going back to fiscal Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - |
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 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&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "ORCL", "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&period=max&api_key=YOUR_API_KEY");
const data = await res.json();