Oracle (ORCL) Dividend Yield (2026)
Oracle's (ORCL) quarterly Dividend Yield came in at 1.32% in Q3 2026, up 53.0% year-over-year from 0.86% in Q3 2025, and up 48.02% on a QoQ basis from 0.89% in Q2 2026.
Oracle (ORCL) Dividend Yield (2026) Analysis & Trends
Oracle (ORCL) has 18 years of Dividend Yield data on file, last reported at 1.32% in Q3 2026.
- On a quarterly basis, Dividend Yield rose 53.0% year-over-year to 1.32% in Q3 2026; TTM through Aug 2026 was 1.32%, a 53.0% increase from a year earlier, with the FY2026 full-year figure at 0.89%, down 13.0% from the prior year.
- Dividend Yield for Q3 2026 stood at 1.32%, up from 0.89% in the prior quarter.
- Across five years, Dividend Yield topped out at 1.8% in Q2 2022 and bottomed at 0.79% in Q3 2025.
- Historically, Dividend Yield has averaged 1.26% across 5 years, with a median of 1.29% in 2023.
- The widest annual swing landed in 2023, when Dividend Yield plunged 53 bps; it then surged 53 bps in 2026.
- Year by year, Dividend Yield stood at 1.53% in 2022, then dropped by 16 bps to 1.29% in 2023, then slumped by 34 bps to 0.86% in 2024, then increased by 8 bps to 0.93% in 2025, then soared by 42 bps to 1.32% in 2026.
- Per Business Quant data, the three most recent Dividend Yield figures were 1.32% in Q3 2026, 0.89% in Q2 2026, and 1.36% in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn |
Oracle Dividend Yield 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=dividend-yield&ticker=ORCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-yield", "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=dividend-yield&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();