Oracle (ORCL) EPS (Diluted) (2009 - 2026)
Oracle's EPS (Diluted) came in at $1.56 for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 55.0% from $1.01 a year earlier and up 5.6% from the prior quarter.
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Analysis
Oracle (ORCL) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Oracle reported EPS (Diluted) of $6.27, up 46.7% year-over-year; for FY2026 (ended May 31, 2026), it was $5.86, up 35.1% from FY2025.
- EPS (Diluted) has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 5.2% (FY2021 to FY2026).
- Going back by fiscal year, EPS (Diluted) was $4.34 in FY2025 (+17.1%), $3.71 in FY2024 (+20.6%), $3.07 in FY2023 (+27.5%) and $2.41 in FY2022 (-47.0%).
- The five-year range for quarterly EPS (Diluted) is -$0.46 (fiscal Q2 2022) to $2.10 (fiscal Q2 2026).
- Year-over-year, EPS (Diluted) has increased for four consecutive quarters, with growth averaging 30.4% over the last eight quarters.
- The fastest year-over-year change in EPS (Diluted) over five years came in fiscal Q2 2026 (growth of 91.2%), and the weakest in fiscal Q3 2022 (a decline of 49.8%).
- Business Quant data shows ORCL's EPS (Diluted) at $1.48 (Q4 2026), $1.27 (Q3 2026) and $2.10 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 0.41 |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 1.56 |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 2.19 |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 4.29 |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 0.29 |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 2.43 |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 1.31 |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -24.45 |
| 10 | Workday | 45.49 Bn | 21.61 Bn | 2.00 Bn | 2.57 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.56 |
| May 31, 2026 | 1.48 |
| Feb 28, 2026 | 1.27 |
| Nov 30, 2025 | 2.10 |
| Aug 31, 2025 | 1.01 |
| May 31, 2025 | 1.20 |
| Feb 28, 2025 | 1.02 |
| Nov 30, 2024 | 1.10 |
| Aug 31, 2024 | 1.03 |
| May 31, 2024 | 1.11 |
| Feb 29, 2024 | 0.85 |
| Nov 30, 2023 | 0.89 |
| Aug 31, 2023 | 0.86 |
| May 31, 2023 | 1.20 |
| Feb 28, 2023 | 0.68 |
| Nov 30, 2022 | 0.63 |
| Aug 31, 2022 | 0.56 |
| May 31, 2022 | 1.14 |
| Feb 28, 2022 | 0.84 |
| Nov 30, 2021 | -0.46 |
API Access
Oracle EPS (Diluted) 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=eps-diluted&ticker=ORCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();