Oracle (ORCL) Selling, General & Administrative (2009 - 2026)
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Analysis
Oracle (ORCL) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 194.58 Mn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 376.00 Mn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | -469.59 Mn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 725.00 Mn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 369.00 Mn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 1.25 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 391.00 Mn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | 39.92 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | 231.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 376.00 Mn |
| May 31, 2026 | 444.00 Mn |
| Feb 28, 2026 | 389.00 Mn |
| Nov 30, 2025 | 409.00 Mn |
| Aug 31, 2025 | 376.00 Mn |
| May 31, 2025 | 467.00 Mn |
| Feb 28, 2025 | 390.00 Mn |
| Nov 30, 2024 | 387.00 Mn |
| Aug 31, 2024 | 358.00 Mn |
| May 31, 2024 | 402.00 Mn |
| Feb 29, 2024 | 377.00 Mn |
| Nov 30, 2023 | 375.00 Mn |
| Aug 31, 2023 | 393.00 Mn |
| May 31, 2023 | 400.00 Mn |
| Feb 28, 2023 | 402.00 Mn |
| Nov 30, 2022 | 366.00 Mn |
| Aug 31, 2022 | 411.00 Mn |
| May 31, 2022 | 364.00 Mn |
| Feb 28, 2022 | 335.00 Mn |
| Nov 30, 2021 | 319.00 Mn |
API Access
Oracle Selling, General & Administrative 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=selling-general-and-administrative&ticker=ORCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();