Oracle (ORCL) Shares Outstanding (2009 - 2026)
Oracle's Weighted Average Shares Outstanding was 2.97 billion in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 5.0% from 2.83 billion a year earlier and up 3.7% from the prior quarter.
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Analysis
Oracle (ORCL) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Weighted Average Shares Outstanding at Oracle came in at 2.86 billion, up 2.5% from FY2025.
- Weighted Average Shares Outstanding has now increased for three consecutive fiscal years, though with a five-year compound annual growth rate of -0.6% (FY2021 to FY2026).
- In earlier fiscal years, Weighted Average Shares Outstanding was 2.79 billion in FY2025 (+1.6%), 2.74 billion in FY2024 (+1.8%), 2.7 billion in FY2023 (-0.1%) and 2.7 billion in FY2022 (-8.3%).
- The fiscal Q1 2027 figure marks the highest quarterly Weighted Average Shares Outstanding since fiscal Q2 2021.
- Compared with a year earlier, Weighted Average Shares Outstanding has increased for 13 straight quarters, with growth averaging 2.5% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding over five years was fiscal Q1 2027 (growth of 5.0%); the worst was fiscal Q2 2022 (a decline of 9.5%).
- Per Business Quant data, ORCL's Weighted Average Shares Outstanding in the three fiscal quarters before Q1 2027 was 2.86 billion (Q4 2026), 2.87 billion (Q3 2026) and 2.86 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 2.41 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 2.97 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 1.17 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 820.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 402.30 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 1.03 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | 1.83 Bn |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 400.15 Mn |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - | 448.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 2.97 Bn |
| May 31, 2026 | 2.86 Bn |
| Feb 28, 2026 | 2.87 Bn |
| Nov 30, 2025 | 2.86 Bn |
| Aug 31, 2025 | 2.83 Bn |
| May 31, 2025 | 2.79 Bn |
| Feb 28, 2025 | 2.80 Bn |
| Nov 30, 2024 | 2.79 Bn |
| Aug 31, 2024 | 2.76 Bn |
| May 31, 2024 | 2.74 Bn |
| Feb 29, 2024 | 2.75 Bn |
| Nov 30, 2023 | 2.75 Bn |
| Aug 31, 2023 | 2.73 Bn |
| May 31, 2023 | 2.70 Bn |
| Feb 28, 2023 | 2.70 Bn |
| Nov 30, 2022 | 2.70 Bn |
| Aug 31, 2022 | 2.69 Bn |
| May 31, 2022 | 2.70 Bn |
| Feb 28, 2022 | 2.67 Bn |
| Nov 30, 2021 | 2.69 Bn |
API Access
Oracle Shares Outstanding 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=shares-outstanding&ticker=ORCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();