Lam Research (LRCX) Return on Sales [ROS] (2009 - 2026)
Lam Research (LRCX) recorded Return on Sales [ROS] of 39.95% in fiscal Q1 2027 (quarter ended Sep 27, 2026), up 5.60 percentage points from 34.35% a year earlier and up 2.56 percentage points from the prior quarter.
Lam Research (LRCX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Lam Research's Return on Sales [ROS] came in at 36.95% as of Sep 27, 2026, up 3.95 percentage points year-over-year; for FY2026 (ended Jun 28, 2026), it came in at 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 Q1 2027 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 11 consecutive quarters, with an average year-over-year change of +3.85 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 5.60 percentage points in fiscal Q1 2027, 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 37.39% (Q4 2026), 35.04% (Q3 2026) and 33.87% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,084.14 Bn | 4,858.30 Bn | 72.14 Bn | 66.24% |
| 2 | Taiwan Semiconductor Manufacturing | 2,168.94 Bn | 1,795.12 Bn | 27.22 Bn | 60.34% |
| 3 | Broadcom | 1,535.70 Bn | 1,461.75 Bn | 20.46 Bn | 53.92% |
| 4 | Micron Technology | 992.51 Bn | 898.15 Bn | 47.05 Bn | 80.68% |
| 5 | Advanced Micro Devices | 843.40 Bn | 800.15 Bn | 6.20 Bn | 17.25% |
| 6 | Asml Holding | 605.80 Bn | 561.49 Bn | 5.90 Bn | - |
| 7 | Intel | 438.54 Bn | 323.27 Bn | 6.51 Bn | 11.14% |
| 8 | Applied Materials | 299.38 Bn | 264.82 Bn | 4.59 Bn | 33.74% |
| 9 | Lam Research | 287.43 Bn | 263.48 Bn | 4.30 Bn | 39.95% |
| 10 | Texas Instruments | 260.14 Bn | 235.01 Bn | 3.89 Bn | 47.46% |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 39.95% |
| 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% |
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();