Applied Materials (AMAT) Capital Expenditures (2009 - 2026)
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Analysis
Applied Materials (AMAT) Capital Expenditures (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | -7.11 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | - |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 2.68 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | -1.01 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 11.11 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 648.00 Mn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 4.02 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 684.00 Mn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn | 257.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 25, 2026 | 684.00 Mn |
| Jul 26, 2026 | 707.00 Mn |
| Apr 26, 2026 | 635.00 Mn |
| Jan 25, 2026 | 646.00 Mn |
| Oct 26, 2025 | 785.00 Mn |
| Jul 27, 2025 | 584.00 Mn |
| Apr 27, 2025 | 510.00 Mn |
| Dec 31, 2024 | -1.19 Bn |
| Oct 27, 2024 | 407.00 Mn |
| Jul 28, 2024 | 297.00 Mn |
| Apr 28, 2024 | 257.00 Mn |
| Jan 28, 2024 | 229.00 Mn |
| Oct 29, 2023 | 309.00 Mn |
| Jul 30, 2023 | 255.00 Mn |
| Apr 30, 2023 | 255.00 Mn |
| Jan 29, 2023 | 287.00 Mn |
| Oct 30, 2022 | 223.00 Mn |
| Jul 31, 2022 | 210.00 Mn |
| May 1, 2022 | 210.00 Mn |
| Jan 30, 2022 | 144.00 Mn |
API Access
Applied Materials Capital Expenditures 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=capital-expenditures&ticker=AMAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();