Oracle (ORCL) Amortization - Intangibles (2009 - 2026)
Oracle (ORCL) recorded Amortization - Intangibles of $202 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), down 51.9% from $420 million a year earlier and down 53.2% from the prior quarter.
Oracle (ORCL) Amortization - Intangibles (2009 - 2026) Analysis & Trends
On a TTM basis, Oracle's Amortization - Intangibles came in at $1.45 billion as of Aug 31, 2026, down 30.9% year-over-year; for FY2026 (ended May 31, 2026), it was $1.67 billion, down 27.6% from FY2025.
- Annual Amortization - Intangibles has declined for three straight fiscal years, though with a five-year compound annual growth rate of 3.9% (FY2021 to FY2026).
- Across earlier fiscal years, Amortization - Intangibles came in at $2.31 billion in FY2025 (-23.4%), $3.01 billion in FY2024 (-16.0%), $3.58 billion in FY2023 (+211.5%) and $1.15 billion in FY2022 (-16.6%).
- The fiscal Q1 2027 figure is the lowest quarterly Amortization - Intangibles in data going back to fiscal Q3 2009.
- On a year-over-year basis, Amortization - Intangibles has declined for 13 consecutive quarters, with an average decline of 29.5% over the last eight quarters.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 224.6% in fiscal Q4 2023, against a decline of 51.9% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $432 million (Q4 2026), $413 million (Q3 2026) and $407 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 202.00 Mn |
| May 31, 2026 | 432.00 Mn |
| Feb 28, 2026 | 413.00 Mn |
| Nov 30, 2025 | 407.00 Mn |
| Aug 31, 2025 | 420.00 Mn |
| May 31, 2025 | 544.00 Mn |
| Feb 28, 2025 | 548.00 Mn |
| Nov 30, 2024 | 591.00 Mn |
| Aug 31, 2024 | 624.00 Mn |
| May 31, 2024 | 743.00 Mn |
| Feb 29, 2024 | 749.00 Mn |
| Nov 30, 2023 | 755.00 Mn |
| Aug 31, 2023 | 763.00 Mn |
| May 31, 2023 | 870.00 Mn |
| Feb 28, 2023 | 886.00 Mn |
| Nov 30, 2022 | 907.00 Mn |
| Aug 31, 2022 | 919.00 Mn |
| May 31, 2022 | 268.00 Mn |
| Feb 28, 2022 | 279.00 Mn |
| Nov 30, 2021 | 299.00 Mn |
Oracle Amortization - Intangibles 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=amortization-intangibles&ticker=ORCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();