Oracle (ORCL) Price to Earnings (2026)
Oracle's (ORCL) quarterly Price to Earnings came in at 26.25 in Q3 2026, down 55.86% year-over-year from 59.46 in Q3 2025, and down 37.74% on a QoQ basis from 42.15 in Q2 2026.
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Analysis
Oracle (ORCL) Price to Earnings (2026) Analysis & Trends
Oracle (ORCL) has 18 years of Price to Earnings data on file, last reported at 26.25 in Q3 2026.
- On a quarterly basis, Price to Earnings fell 55.86% year-over-year to 26.25 in Q3 2026; TTM through Aug 2026 was 26.25, a 55.86% decrease from a year earlier, with the FY2026 full-year figure at 42.09, down 2.11% from the prior year.
- Price to Earnings for Q3 2026 stood at 26.25, down from 42.15 in the prior quarter.
- Across five years, Price to Earnings topped out at 59.46 in Q3 2025 and bottomed at 18.95 in Q4 2022.
- Historically, Price to Earnings has averaged 37.0 across 5 years, with a median of 40.06 in 2023.
- The widest annual swing landed in 2023, when Price to Earnings jumped 130.2%; it then slumped 55.86% in 2026.
- Year by year, Price to Earnings stood at 18.95 in 2022, then surged by 111.39% to 40.06 in 2023, then soared by 35.99% to 54.48 in 2024, then slipped by 22.76% to 42.08 in 2025, then tumbled by 37.63% to 26.25 in 2026.
- Per Business Quant data, the three most recent Price to Earnings figures were 26.25 in Q3 2026, 42.15 in Q2 2026, and 28.73 in Q1 2026.
Peer Set
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 |
API Access
Oracle Price to Earnings 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=price-to-earnings&ticker=ORCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();