Lam Research (LRCX) Operating Margin (2009 - 2026)
Lam Research (LRCX) reported Operating Margin of 39.95% for 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) Operating Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 27, 2026, Lam Research's Operating Margin came in at 36.95%, 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.
- Operating Margin has a five-year change of +4.65 percentage points (FY2021 to FY2026).
- By fiscal year, Operating Margin 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 ranks as the highest quarterly Operating Margin in data going back to fiscal Q1 2010.
- Year over year, Operating Margin has now increased in each of the last 11 quarters, with an average year-over-year change of +3.85 percentage points over the last eight quarters.
- The high point for year-over-year Operating Margin in five years was fiscal Q1 2027 (a gain of 5.60 percentage points); the low point was fiscal Q4 2023 (a drop of 5.27 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 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) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 66.24% |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 60.34% |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 53.92% |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 80.68% |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 21.17% |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 15.27% |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 33.74% |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 47.46% |
| 10 | Lam Research | 251.05 Bn | 227.10 Bn | 4.30 Bn | 39.95% |
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 Operating 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=operating-margin&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();