Applied Materials (AMAT) Net of Acquisitions & Divestments (2010 - 2026)
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Analysis
Applied Materials (AMAT) Net of Acquisitions & Divestments (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,552.94 Bn | 5,327.10 Bn | 72.14 Bn | -211.00 Mn |
| 2 | Taiwan Semiconductor Manufacturing | 2,339.30 Bn | 1,954.00 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,728.01 Bn | 1,654.05 Bn | 20.46 Bn | - |
| 4 | Micron Technology | 1,166.74 Bn | 1,105.50 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 997.15 Bn | 953.90 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 692.28 Bn | 648.11 Bn | 5.90 Bn | - |
| 7 | Intel | 538.29 Bn | 407.43 Bn | 6.51 Bn | - |
| 8 | Applied Materials | 403.94 Bn | 369.38 Bn | 4.59 Bn | -87.00 Mn |
| 9 | Lam Research | 402.15 Bn | 378.95 Bn | 3.48 Bn | - |
| 10 | Arm Holdings | 282.50 Bn | 268.21 Bn | 1.25 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | -87.00 Mn |
| Apr 26, 2026 | -175.00 Mn |
| Apr 27, 2025 | -1.00 Mn |
| Jan 26, 2025 | -28.00 Mn |
| Jul 30, 2023 | -7.00 Mn |
| Apr 30, 2023 | 2.00 Mn |
| Jan 29, 2023 | -20.00 Mn |
| Jul 31, 2022 | -441.00 Mn |
| Jan 31, 2021 | -12.00 Mn |
| Jul 26, 2020 | -80.00 Mn |
| Apr 26, 2020 | -27.00 Mn |
| Jul 28, 2019 | -5.00 Mn |
| Apr 28, 2019 | -23.00 Mn |
| Oct 28, 2018 | -1.00 Mn |
| Jan 28, 2018 | -5.00 Mn |
| Oct 29, 2017 | -12.00 Mn |
| Jul 30, 2017 | -30.00 Mn |
| Apr 30, 2017 | -26.00 Mn |
| Oct 30, 2016 | -11.00 Mn |
| Jul 31, 2016 | 3.00 Mn |
API Access
Applied Materials Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=AMAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();