Applied Materials (AMAT) Inventory (2009 - 2026)
Applied Materials (AMAT) recorded Inventory of $6.89 billion in fiscal Q4 2026 (quarter ended Oct 25, 2026), up 16.5% from $5.92 billion a year earlier and up 5.0% from the prior quarter.
Applied Materials (AMAT) Inventory (2009 - 2026) Analysis & Trends
Starting with fiscal Q1 2009, Applied Materials' Inventory history includes 71 quarters.
- Annual Inventory has a five-year compound annual growth rate of 9.8% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $5.92 billion in FY2025 (+9.1%), $5.42 billion in FY2024 (-5.3%), $5.73 billion in FY2023 (-3.5%) and $5.93 billion in FY2022 (+37.7%).
- The fiscal Q4 2026 figure is the highest quarterly Inventory in data going back to fiscal Q1 2009.
- On a year-over-year basis, Inventory has increased for three consecutive quarters, with growth averaging 9.1% over the last six quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 37.7% in fiscal Q4 2022, against a decline of 6.7% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $6.56 billion (Q3 2026), $6.34 billion (Q2 2026) and $6 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 11.67 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 13.43 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 31.58 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 4.52 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 10.37 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 11.46 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 13.43 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 13.07 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 6.89 Bn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn | 4.55 Bn |
Historic Data
| Date | Value |
|---|---|
| Oct 25, 2026 | 6.89 Bn |
| Jul 26, 2026 | 6.56 Bn |
| Apr 26, 2026 | 6.34 Bn |
| Jan 25, 2026 | 6.00 Bn |
| Oct 26, 2025 | 5.92 Bn |
| Jul 27, 2025 | 5.81 Bn |
| Apr 27, 2025 | 5.66 Bn |
| Oct 27, 2024 | 5.42 Bn |
| Jul 28, 2024 | 5.57 Bn |
| Apr 28, 2024 | 5.69 Bn |
| Jan 28, 2024 | 5.65 Bn |
| Oct 29, 2023 | 5.73 Bn |
| Jul 30, 2023 | 5.81 Bn |
| Apr 30, 2023 | 5.94 Bn |
| Jan 29, 2023 | 6.05 Bn |
| Oct 30, 2022 | 5.93 Bn |
| Jul 31, 2022 | 5.51 Bn |
| May 1, 2022 | 5.01 Bn |
| Jan 30, 2022 | 4.53 Bn |
| Oct 31, 2021 | 4.31 Bn |
Applied Materials 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=inventory&ticker=AMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=inventory&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();