Applied Materials (AMAT) Return on Assets [ROA] (2009 - 2026)
Applied Materials (AMAT) posted Return on Assets [ROA] of 22.69% for fiscal Q4 2026 (quarter ended Oct 25, 2026), down 12.65 percentage points from 35.34% a year earlier but up 0.57 percentage points from the prior quarter.
Applied Materials (AMAT) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2026 (ended Oct 25, 2026), Applied Materials' Return on Assets [ROA] came in at 24.70%, up 4.90 percentage points from FY2025.
- Annual Return on Assets [ROA] shows a five-year change of +0.25 percentage points (FY2021 to FY2026).
- In prior fiscal years, Applied Materials' Return on Assets [ROA] was 19.79% in FY2025 (-2.24 pp), 22.04% in FY2024 (-1.83 pp), 23.87% in FY2023 (-0.97 pp) and 24.83% in FY2022 (+0.39 pp).
- Quarterly Return on Assets [ROA] has run from a low of 21.09% in fiscal Q4 2024 to a high of 36.24% in fiscal Q3 2025 over five years.
- On a year-over-year basis, Return on Assets [ROA] increased in two of the last four quarters, with an average year-over-year change of +0.25 percentage points.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was fiscal Q4 2025, with a gain of 14.25 percentage points; the weakest was fiscal Q3 2026, with a drop of 14.12 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior fiscal quarters was 22.11% (Q3 2026), 21.83% (Q2 2026) and 21.20% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | -466,841,983.85% |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 7.44% |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 66.53% |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 20.84% |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 51.50% |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 8.50% |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | -5.54% |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 22.69% |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn | 33.88% |
Historic Data
| Date | Value |
|---|---|
| Oct 25, 2026 | 22.69% |
| Jul 26, 2026 | 22.11% |
| Apr 26, 2026 | 21.83% |
| Jan 25, 2026 | 21.20% |
| Oct 26, 2025 | 35.34% |
| Jul 27, 2025 | 36.24% |
| Oct 27, 2024 | 21.09% |
| Jul 28, 2024 | 22.71% |
| Apr 28, 2024 | 23.01% |
| Jan 28, 2024 | 22.99% |
| Oct 29, 2023 | 22.43% |
| Jul 30, 2023 | 21.66% |
| Apr 30, 2023 | 22.75% |
| Jan 29, 2023 | 23.59% |
| Oct 30, 2022 | 24.68% |
| Jul 31, 2022 | 25.75% |
| May 1, 2022 | 26.55% |
| Jan 30, 2022 | 25.56% |
| Oct 31, 2021 | 23.41% |
| Aug 1, 2021 | 21.86% |
Applied Materials Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=AMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();