Lam Research (LRCX) Return on Assets [ROA] (2010 - 2026)
Lam Research (LRCX) recorded Return on Assets [ROA] of 33.88% in fiscal Q1 2027 (quarter ended Sep 27, 2026), up 7.01 percentage points from 26.87% a year earlier and up 1.09 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 Q1 2027 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 eight consecutive quarters, with an average year-over-year change of +5.91 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 8.98 percentage points in fiscal Q2 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 32.78% (Q4 2026), 31.81% (Q3 2026) and 28.71% (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,084.14 Bn | 4,858.30 Bn | 72.14 Bn | 66.53% |
| 2 | Taiwan Semiconductor Manufacturing | 2,168.94 Bn | 1,795.12 Bn | 27.22 Bn | 7.14% |
| 3 | Broadcom | 1,535.70 Bn | 1,461.75 Bn | 20.46 Bn | 20.84% |
| 4 | Micron Technology | 992.51 Bn | 898.15 Bn | 47.05 Bn | 51.46% |
| 5 | Advanced Micro Devices | 843.40 Bn | 800.15 Bn | 6.20 Bn | 7.84% |
| 6 | Asml Holding | 605.80 Bn | 561.49 Bn | 5.90 Bn | - |
| 7 | Intel | 438.54 Bn | 323.27 Bn | 6.51 Bn | -5.49% |
| 8 | Applied Materials | 299.38 Bn | 264.82 Bn | 4.59 Bn | 22.11% |
| 9 | Lam Research | 287.43 Bn | 263.48 Bn | 4.30 Bn | 33.88% |
| 10 | Texas Instruments | 260.14 Bn | 235.01 Bn | 3.89 Bn | 19.56% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 33.88% |
| 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% |
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();