Applied Materials (AMAT) Selling, General & Administrative (2009 - 2026)
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Analysis
Applied Materials (AMAT) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 3.63 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 718.16 Mn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 1.35 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 996.00 Mn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 859.00 Mn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 1.30 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 1.03 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 218.00 Mn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn | 348.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 25, 2026 | 218.00 Mn |
| Jul 26, 2026 | 162.00 Mn |
| Apr 26, 2026 | 164.00 Mn |
| Jan 25, 2026 | 189.00 Mn |
| Oct 26, 2025 | 243.00 Mn |
| Jul 27, 2025 | 204.00 Mn |
| Apr 27, 2025 | 207.00 Mn |
| Dec 31, 2024 | 961.00 Mn |
| Oct 27, 2024 | 216.00 Mn |
| Jul 28, 2024 | 222.00 Mn |
| Apr 28, 2024 | 247.00 Mn |
| Jan 28, 2024 | 276.00 Mn |
| Oct 29, 2023 | 217.00 Mn |
| Jul 30, 2023 | 214.00 Mn |
| Apr 30, 2023 | 214.00 Mn |
| Jan 29, 2023 | 207.00 Mn |
| Oct 30, 2022 | 198.00 Mn |
| Jul 31, 2022 | 197.00 Mn |
| May 1, 2022 | 174.00 Mn |
| Jan 30, 2022 | 166.00 Mn |
API Access
Applied Materials 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=AMAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "AMAT", "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=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();