Oracle (ORCL) Price to Sales (2026)
Oracle's (ORCL) quarterly Price to Sales came in at 6.28 in Q3 2026, down 42.3% year-over-year from 10.89 in Q3 2025, and down 34.93% on a QoQ basis from 9.65 in Q2 2026.
Powered by 
Analysis
Oracle (ORCL) Price to Sales (2026) Analysis & Trends
Oracle (ORCL) has 18 years of Price to Sales data on file, last reported at 6.28 in Q3 2026.
- On a quarterly basis, Price to Sales fell 42.3% year-over-year to 6.28 in Q3 2026; TTM through Aug 2026 was 6.28, a 42.3% decrease from a year earlier, with the FY2026 full-year figure at 9.65, up 19.26% from the prior year.
- Price to Sales for Q3 2026 stood at 6.28, down from 9.65 in the prior quarter.
- Across five years, Price to Sales topped out at 10.89 in Q3 2025 and bottomed at 4.52 in Q2 2022.
- Historically, Price to Sales has averaged 6.84 across 5 years, with a median of 6.28 in 2026.
- The widest annual swing landed in 2022, when Price to Sales jumped 77.27%; it then plunged 42.3% in 2026.
- Year by year, Price to Sales stood at 4.86 in 2022, then grew by 27.36% to 6.19 in 2023, then soared by 52.1% to 9.41 in 2024, then gained by 1.07% to 9.51 in 2025, then sank by 33.94% to 6.28 in 2026.
- Per Business Quant data, the three most recent Price to Sales figures were 6.28 in Q3 2026, 9.65 in Q2 2026, and 6.52 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 Sales 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-sales&ticker=ORCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();