Applied Materials (AMAT) Change in Inventory (2009 - 2026)
Applied Materials (AMAT) recorded Change in Inventory of $208 million in fiscal Q3 2026 (quarter ended Jul 26, 2026), up 37.7% from $151 million a year earlier but down 34.8% from the prior quarter.
Applied Materials (AMAT) Change in Inventory (2009 - 2026) Analysis & Trends
On a TTM basis, Applied Materials' Change in Inventory came in at $717 million as of Jul 26, 2026, up 54.9% year-over-year; for FY2025 (ended Oct 26, 2025), it came in at $494 million.
- Annual Change in Inventory has a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Across earlier fiscal years, Change in Inventory came in at -$304 million in FY2024, -$207 million in FY2023, $1.59 billion in FY2022 (+292.6%) and $405 million in FY2021 (-3.8%).
- Quarterly Change in Inventory has ranged from -$147 million in fiscal Q4 2024 to $483 million in fiscal Q2 2022 over the past five years.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 933.3% in fiscal Q1 2022, against a decline of 43.8% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $319 million (Q2 2026), $82 million (Q1 2026) and $108 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | -1.32 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 5.78 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | -2.25 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 1.81 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 3.00 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 576.00 Mn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 208.00 Mn |
| Apr 26, 2026 | 319.00 Mn |
| Jan 25, 2026 | 82.00 Mn |
| Oct 26, 2025 | 108.00 Mn |
| Jul 27, 2025 | 151.00 Mn |
| Apr 27, 2025 | 155.00 Mn |
| Dec 31, 2024 | 304.00 Mn |
| Oct 27, 2024 | -147.00 Mn |
| Jul 28, 2024 | -123.00 Mn |
| Apr 28, 2024 | 45.00 Mn |
| Jan 28, 2024 | -79.00 Mn |
| Oct 29, 2023 | -84.00 Mn |
| Jul 30, 2023 | -131.00 Mn |
| Apr 30, 2023 | -114.00 Mn |
| Jan 29, 2023 | 122.00 Mn |
| Oct 30, 2022 | 426.00 Mn |
| Jul 31, 2022 | 464.00 Mn |
| May 1, 2022 | 483.00 Mn |
| Jan 30, 2022 | 217.00 Mn |
| Oct 31, 2021 | 192.00 Mn |
Applied Materials Change in Inventory 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=change-in-inventory&ticker=AMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();