Lam Research (LRCX) Return on Equity [ROE] (2010 - 2026)
Lam Research (LRCX) reported Return on Equity [ROE] of 64.06% for fiscal Q1 2027 (quarter ended Sep 27, 2026), up 6.12 percentage points from 57.95% a year earlier and up 1.04 percentage points from the prior quarter.
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Analysis
Lam Research (LRCX) Return on Equity [ROE] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Lam Research posted Return on Equity [ROE] of 65.07%, up 6.83 percentage points from FY2025.
- Return on Equity [ROE] has a five-year change of -4.73 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Equity [ROE] came in at 58.24% in FY2025 (+12.53 pp), 45.71% in FY2024 (-16.56 pp), 62.27% in FY2023 (-12.58 pp) and 74.85% in FY2022 (+5.05 pp).
- Five-year quarterly Return on Equity [ROE] spans a low of 42.51% in fiscal Q2 2024 and a high of 74.85% in fiscal Q4 2022.
- Year over year, Return on Equity [ROE] has now increased in each of the last eight quarters, with an average year-over-year change of +9.00 percentage points over the last eight quarters.
- The high point for year-over-year Return on Equity [ROE] in five years was fiscal Q2 2022 (a gain of 20.39 percentage points); the low point was fiscal Q2 2024 (a drop of 22.71 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 63.02% (Q4 2026), 64.72% (Q3 2026) and 61.10% (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 90.87% |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 37.29% |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 40.84% |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 71.02% |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 11.24% |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | -10.18% |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 37.42% |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 38.25% |
| 10 | Lam Research | 251.05 Bn | 227.10 Bn | 4.30 Bn | 64.06% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 64.06% |
| Jun 28, 2026 | 63.02% |
| Mar 29, 2026 | 64.72% |
| Dec 28, 2025 | 61.10% |
| Sep 28, 2025 | 57.95% |
| Jun 29, 2025 | 55.32% |
| Mar 30, 2025 | 50.86% |
| Dec 29, 2024 | 49.69% |
| Sep 29, 2024 | 47.70% |
| Jun 30, 2024 | 46.22% |
| Mar 31, 2024 | 44.45% |
| Dec 24, 2023 | 42.51% |
| Sep 24, 2023 | 48.87% |
| Jun 25, 2023 | 54.29% |
| Mar 26, 2023 | 58.85% |
| Dec 25, 2022 | 65.22% |
| Sep 25, 2022 | 70.87% |
| Jun 26, 2022 | 74.85% |
| Mar 27, 2022 | 72.64% |
| Dec 26, 2021 | 74.67% |
API Access
Lam Research Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();