Lam Research (LRCX) Return on Sales [ROS] (2009 - 2026)
Lam Research (LRCX) recorded Return on Sales [ROS] of 37.39% in fiscal Q4 2026 (quarter ended Jun 28, 2026), up 3.72 percentage points from 33.67% a year earlier and up 2.35 percentage points from the prior quarter.
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Analysis
Lam Research (LRCX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Lam Research reported Return on Sales [ROS] of 35.29%, up 3.29 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of +4.65 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 32.01% in FY2025 (+3.40 pp), 28.61% in FY2024 (-1.09 pp), 29.69% in FY2023 (-1.55 pp) and 31.24% in FY2022 (+0.60 pp).
- The fiscal Q4 2026 figure is the highest quarterly Return on Sales [ROS] in data going back to fiscal Q1 2010.
- On a year-over-year basis, Return on Sales [ROS] has increased for ten consecutive quarters, with an average year-over-year change of +3.27 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 5.22 percentage points in fiscal Q3 2025, against a drop of 5.27 percentage points in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 35.04% (Q3 2026), 33.87% (Q2 2026) and 34.35% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 66.24% |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 60.34% |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 53.92% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 80.37% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 17.25% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 11.14% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 37.39% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 33.74% |
| 10 | Arm Holdings | 326.25 Bn | 311.96 Bn | 1.25 Bn | 7.06% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 37.39% |
| Mar 29, 2026 | 35.04% |
| Dec 28, 2025 | 33.87% |
| Sep 28, 2025 | 34.35% |
| Jun 29, 2025 | 33.67% |
| Mar 30, 2025 | 33.09% |
| Dec 29, 2024 | 30.48% |
| Sep 29, 2024 | 30.33% |
| Jun 30, 2024 | 29.10% |
| Mar 31, 2024 | 27.87% |
| Dec 24, 2023 | 28.13% |
| Sep 24, 2023 | 29.38% |
| Jun 25, 2023 | 26.65% |
| Mar 26, 2023 | 24.35% |
| Dec 25, 2022 | 31.84% |
| Sep 25, 2022 | 33.46% |
| Jun 26, 2022 | 31.91% |
| Mar 27, 2022 | 29.36% |
| Dec 26, 2021 | 31.66% |
| Sep 26, 2021 | 31.88% |
API Access
Lam Research 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=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LRCX", "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=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();