Lam Research (LRCX) Gross Margin (2009 - 2026)
Lam Research (LRCX) reported Gross Margin of 52.30% for fiscal Q1 2027 (quarter ended Sep 27, 2026), up 1.87 percentage points from 50.43% a year earlier and up 0.55 percentage points from the prior quarter.
Lam Research (LRCX) Gross Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 27, 2026, Lam Research's Gross Margin came in at 51.05%, up 1.74 percentage points year-over-year; for FY2026 (ended Jun 28, 2026), it came in at 50.47%, up 1.76 percentage points from FY2025.
- Gross Margin has increased for three consecutive fiscal years, with a five-year change of +3.94 percentage points (FY2021 to FY2026).
- By fiscal year, Gross Margin came in at 48.71% in FY2025 (+1.39 pp), 47.32% in FY2024 (+2.70 pp), 44.62% in FY2023 (-1.07 pp) and 45.69% in FY2022 (-0.83 pp).
- The fiscal Q1 2027 figure ranks as the highest quarterly Gross Margin in data going back to fiscal Q1 2010.
- Year over year, Gross Margin has now increased in each of the last 14 quarters, with an average year-over-year change of +1.71 percentage points over the last eight quarters.
- The high point for year-over-year Gross Margin in five years was fiscal Q3 2024 (a gain of 5.97 percentage points); the low point was fiscal Q3 2023 (a drop of 3.25 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 51.75% (Q4 2026), 49.83% (Q3 2026) and 49.60% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,576.54 Bn | 24,560.31 Bn | 43.99 Bn | 83.20% |
| 2 | Taiwan Semiconductor Manufacturing | 10,284.32 Bn | 9,899.31 Bn | 27.22 Bn | 67.72% |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn | 74.98% |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn | 69.13% |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn | 53.90% |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn | 86.76% |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn | 52.15% |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn | 42.97% |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn | 50.31% |
| 10 | Lam Research | 277.80 Bn | 253.85 Bn | 4.30 Bn | 52.30% |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 52.30% |
| Jun 28, 2026 | 51.75% |
| Mar 29, 2026 | 49.83% |
| Dec 28, 2025 | 49.60% |
| Sep 28, 2025 | 50.43% |
| Jun 29, 2025 | 50.08% |
| Mar 30, 2025 | 49.02% |
| Dec 29, 2024 | 47.37% |
| Sep 29, 2024 | 48.05% |
| Jun 30, 2024 | 47.53% |
| Mar 31, 2024 | 47.46% |
| Dec 24, 2023 | 46.76% |
| Sep 24, 2023 | 47.52% |
| Jun 25, 2023 | 45.46% |
| Mar 26, 2023 | 41.49% |
| Dec 25, 2022 | 45.03% |
| Sep 25, 2022 | 46.05% |
| Jun 26, 2022 | 45.31% |
| Mar 27, 2022 | 44.74% |
| Dec 26, 2021 | 46.80% |
Lam Research Gross 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=gross-margin&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();