Lam Research (LRCX) Net Margin (2009 - 2026)
Lam Research's Net Margin was 33.50% in fiscal Q1 2027 (quarter ended Sep 27, 2026), up 4.03 percentage points from 29.46% a year earlier but down 0.38 percentage points from the prior quarter.
Lam Research (LRCX) Net Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lam Research's Net Margin was 32.34% through Sep 27, 2026, up 2.68 percentage points year-over-year; for FY2026 (ended Jun 28, 2026), it came in at 31.27%, up 2.21 percentage points from FY2025.
- Net Margin shows a five-year change of +4.55 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Net Margin was 29.06% in FY2025 (+3.38 pp), 25.68% in FY2024 (-0.20 pp), 25.88% in FY2023 (-0.85 pp) and 26.73% in FY2022 (+0.01 pp).
- Quarterly Net Margin has moved between 21.04% (fiscal Q3 2023) and 33.88% (fiscal Q4 2026) over five years.
- Compared with a year earlier, Net Margin has increased for 11 straight quarters, with an average year-over-year change of +3.06 percentage points over the last eight quarters.
- The best year-over-year quarter for Net Margin over five years was fiscal Q4 2025 (a gain of 6.91 percentage points); the worst was fiscal Q3 2023 (a drop of 4.13 percentage points).
- Per Business Quant data, LRCX's Net Margin in the three fiscal quarters before Q1 2027 was 33.88% (Q4 2026), 31.25% (Q3 2026) and 29.82% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 62.03% |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 55.62% |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 44.23% |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 69.52% |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 18.15% |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | 29.12% |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 20.11% |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 27.84% |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 39.82% |
| 10 | Lam Research | 251.05 Bn | 227.10 Bn | 4.30 Bn | 33.50% |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 33.50% |
| Jun 28, 2026 | 33.88% |
| Mar 29, 2026 | 31.25% |
| Dec 28, 2025 | 29.82% |
| Sep 28, 2025 | 29.46% |
| Jun 29, 2025 | 33.26% |
| Mar 30, 2025 | 28.19% |
| Dec 29, 2024 | 27.22% |
| Sep 29, 2024 | 26.79% |
| Jun 30, 2024 | 26.35% |
| Mar 31, 2024 | 25.46% |
| Dec 24, 2023 | 25.39% |
| Sep 24, 2023 | 25.48% |
| Jun 25, 2023 | 25.02% |
| Mar 26, 2023 | 21.04% |
| Dec 25, 2022 | 27.83% |
| Sep 25, 2022 | 28.10% |
| Jun 26, 2022 | 26.08% |
| Mar 27, 2022 | 25.16% |
| Dec 26, 2021 | 28.27% |
Lam Research Net Margin 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=net-margin&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();