Lam Research (LRCX) Return on Assets [ROA] (2010 - 2026)
Lam Research (LRCX) recorded Return on Assets [ROA] of 32.78% in fiscal Q4 2026 (quarter ended Jun 28, 2026), up 6.85 percentage points from 25.94% a year earlier and up 0.98 percentage points from the prior quarter.
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Analysis
Lam Research (LRCX) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Lam Research reported Return on Assets [ROA] of 32.38%, up 5.65 percentage points from FY2025.
- Annual Return on Assets [ROA] has a five-year change of +6.71 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Assets [ROA] came in at 26.73% in FY2025 (+6.33 pp), 20.40% in FY2024 (-4.68 pp), 25.08% in FY2023 (-2.76 pp) and 27.84% in FY2022 (+2.17 pp).
- The fiscal Q4 2026 figure is the highest quarterly Return on Assets [ROA] in data going back to fiscal Q1 2011.
- On a year-over-year basis, Return on Assets [ROA] has increased for seven consecutive quarters, with an average year-over-year change of +5.02 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 9.49 percentage points in fiscal Q1 2022, against a drop of 8.49 percentage points in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 31.81% (Q3 2026), 28.71% (Q2 2026) and 26.87% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | 66.53% |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | 7.86% |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | 20.84% |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | 42.83% |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | 7.84% |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | - |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | -5.49% |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | 32.78% |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | 22.11% |
| 10 | Arm Holdings | 307.33 Bn | 293.04 Bn | 1.25 Bn | 13.55% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 32.78% |
| Mar 29, 2026 | 31.81% |
| Dec 28, 2025 | 28.71% |
| Sep 28, 2025 | 26.87% |
| Jun 29, 2025 | 25.94% |
| Mar 30, 2025 | 23.40% |
| Dec 29, 2024 | 21.81% |
| Sep 29, 2024 | 21.20% |
| Jun 30, 2024 | 20.68% |
| Mar 31, 2024 | 19.48% |
| Dec 24, 2023 | 18.53% |
| Sep 24, 2023 | 21.29% |
| Jun 25, 2023 | 23.73% |
| Mar 26, 2023 | 25.58% |
| Dec 25, 2022 | 27.03% |
| Sep 25, 2022 | 27.01% |
| Jun 26, 2022 | 27.26% |
| Mar 27, 2022 | 27.29% |
| Dec 26, 2021 | 28.47% |
| Sep 26, 2021 | 27.11% |
API Access
Lam Research Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();