Applied Materials (AMAT) Return on Sales [ROS] (2009 - 2026)
Applied Materials (AMAT) recorded Return on Sales [ROS] of 33.74% in fiscal Q3 2026 (quarter ended Jul 26, 2026), up 3.15 percentage points from 30.58% a year earlier and up 1.84 percentage points from the prior quarter.
Applied Materials (AMAT) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Applied Materials' Return on Sales [ROS] came in at 29.64% as of Jul 26, 2026, down 0.49 percentage points year-over-year; for FY2025 (ended Oct 26, 2025), it came in at 29.22%, up 0.27 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +3.84 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at 28.95% in FY2024 (+0.08 pp), 28.86% in FY2023 (-1.34 pp), 30.20% in FY2022 (+0.33 pp) and 29.87% in FY2021 (+4.50 pp).
- The fiscal Q3 2026 figure is the highest quarterly Return on Sales [ROS] in data going back to fiscal Q1 2009.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last eight quarters, with an average year-over-year change of +0.11 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 6.66 percentage points in fiscal Q1 2022, against a drop of 4.24 percentage points in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 31.90% (Q2 2026), 26.11% (Q1 2026) and 25.18% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,125.38 Bn | 4,899.54 Bn | 72.14 Bn | 66.24% |
| 2 | Taiwan Semiconductor Manufacturing | 2,163.17 Bn | 1,788.03 Bn | 27.22 Bn | 60.34% |
| 3 | Broadcom | 1,548.04 Bn | 1,474.09 Bn | 20.46 Bn | 53.92% |
| 4 | Micron Technology | 996.11 Bn | 901.75 Bn | 47.05 Bn | 80.68% |
| 5 | Advanced Micro Devices | 845.20 Bn | 801.94 Bn | 6.20 Bn | 17.25% |
| 6 | Asml Holding | 611.51 Bn | 567.19 Bn | 5.90 Bn | - |
| 7 | Intel | 443.49 Bn | 312.62 Bn | 6.51 Bn | 11.14% |
| 8 | Applied Materials | 301.44 Bn | 266.88 Bn | 4.59 Bn | 33.74% |
| 9 | Lam Research | 288.72 Bn | 264.77 Bn | 4.30 Bn | 39.95% |
| 10 | Texas Instruments | 259.56 Bn | 237.39 Bn | 3.35 Bn | 42.28% |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 33.74% |
| Apr 26, 2026 | 31.90% |
| Jan 25, 2026 | 26.11% |
| Oct 26, 2025 | 25.18% |
| Jul 27, 2025 | 30.58% |
| Apr 27, 2025 | 30.55% |
| Jan 26, 2025 | 30.35% |
| Oct 27, 2024 | 29.04% |
| Jul 28, 2024 | 28.65% |
| Apr 28, 2024 | 28.77% |
| Jan 28, 2024 | 29.33% |
| Oct 29, 2023 | 29.32% |
| Jul 30, 2023 | 28.05% |
| Apr 30, 2023 | 28.82% |
| Jan 29, 2023 | 29.23% |
| Oct 30, 2022 | 29.55% |
| Jul 31, 2022 | 29.51% |
| May 1, 2022 | 30.33% |
| Jan 30, 2022 | 31.51% |
| Oct 31, 2021 | 32.89% |
Applied Materials Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=AMAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();