Oracle Corp (ORCL-PD) Selling, General & Administrative (2009 - 2026)
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Analysis
Oracle Corp (ORCL-PD) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
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 Corp 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-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "ORCL-PD", "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-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();