Lam Research (LRCX) Return on Capital Employed [ROCE] (2010 - 2026)
Lam Research's Return on Capital Employed [ROCE] came in at 54.76% for fiscal Q1 2027 (quarter ended Sep 27, 2026), up 11.41 percentage points from 43.35% a year earlier and up 4.22 percentage points from the prior quarter.
Lam Research (LRCX) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Lam Research's Return on Capital Employed [ROCE] was 49.69%, up 5.91 percentage points from FY2025.
- Return on Capital Employed [ROCE] carries a five-year change of +11.38 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Capital Employed [ROCE] was 43.79% in FY2025 (+14.23 pp), 29.56% in FY2024 (-7.93 pp), 37.49% in FY2023 (-7.44 pp) and 44.93% in FY2022 (+6.61 pp).
- The fiscal Q1 2027 figure represents the highest quarterly Return on Capital Employed [ROCE] in data going back to fiscal Q1 2011.
- Year-over-year, Return on Capital Employed [ROCE] has increased for nine consecutive quarters, with an average year-over-year change of +9.90 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in fiscal Q2 2022 (a gain of 13.15 percentage points), and the weakest in fiscal Q2 2024 (a drop of 15.02 percentage points).
- Business Quant data shows LRCX's Return on Capital Employed [ROCE] at 50.54% (Q4 2026), 46.86% (Q3 2026) and 44.98% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,084.14 Bn | 4,858.30 Bn | 72.14 Bn | 80.04% |
| 2 | Taiwan Semiconductor Manufacturing | 2,168.94 Bn | 1,795.12 Bn | 27.22 Bn | 8.44% |
| 3 | Broadcom | 1,535.70 Bn | 1,461.75 Bn | 20.46 Bn | 26.30% |
| 4 | Micron Technology | 992.51 Bn | 898.15 Bn | 47.05 Bn | 72.24% |
| 5 | Advanced Micro Devices | 843.40 Bn | 800.15 Bn | 6.20 Bn | 9.27% |
| 6 | Asml Holding | 605.80 Bn | 561.49 Bn | 5.90 Bn | - |
| 7 | Intel | 438.54 Bn | 323.27 Bn | 6.51 Bn | -0.05% |
| 8 | Applied Materials | 299.38 Bn | 264.82 Bn | 4.59 Bn | 28.98% |
| 9 | Lam Research | 287.43 Bn | 263.48 Bn | 4.30 Bn | 54.76% |
| 10 | Texas Instruments | 260.14 Bn | 235.01 Bn | 3.89 Bn | 25.39% |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 54.76% |
| Jun 28, 2026 | 50.54% |
| Mar 29, 2026 | 46.86% |
| Dec 28, 2025 | 44.98% |
| Sep 28, 2025 | 43.35% |
| Jun 29, 2025 | 41.89% |
| Mar 30, 2025 | 36.67% |
| Dec 29, 2024 | 33.36% |
| Sep 29, 2024 | 32.66% |
| Jun 30, 2024 | 30.08% |
| Mar 31, 2024 | 28.31% |
| Dec 24, 2023 | 26.95% |
| Sep 24, 2023 | 31.22% |
| Jun 25, 2023 | 34.90% |
| Mar 26, 2023 | 39.23% |
| Dec 25, 2022 | 41.96% |
| Sep 25, 2022 | 44.23% |
| Jun 26, 2022 | 43.66% |
| Mar 27, 2022 | 41.94% |
| Dec 26, 2021 | 42.58% |
Lam Research Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();