Oracle (ORCL) Price to Book (2026)
Oracle's (ORCL) quarterly Price to Book came in at 6.71 in Q3 2026, down 74.24% year-over-year from 26.05 in Q3 2025, and down 55.57% on a QoQ basis from 15.1 in Q2 2026.
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Oracle (ORCL) Price to Book (2026) Analysis & Trends
Oracle (ORCL) has 17 years of Price to Book data on file, last reported at 6.71 in Q3 2026.
- On a quarterly basis, Price to Book fell 74.24% year-over-year to 6.71 in Q3 2026; TTM through Aug 2026 was 6.71, a 74.24% decrease from a year earlier, with the FY2026 full-year figure at 15.1, down 31.84% from the prior year.
- Price to Book for Q3 2026 stood at 6.71, down from 15.1 in the prior quarter.
- Across five years, Price to Book topped out at 184.71 in Q2 2023 and bottomed at 6.71 in Q3 2026.
- Historically, Price to Book has averaged 45.34 across 4 years, with a median of 30.85 in 2024.
- The widest annual swing landed in 2024, when Price to Book sank 81.08%; it then declined 25.03% in 2025.
- Year by year, Price to Book stood at 51.66 in 2023, then slipped by 29.72% to 36.3 in 2024, then tumbled by 47.53% to 19.05 in 2025, then tumbled by 64.78% to 6.71 in 2026.
- Per Business Quant data, the three most recent Price to Book figures were 6.71 in Q3 2026, 15.1 in Q2 2026, and 10.7 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 Book 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-book&ticker=ORCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();