Lam Research (LRCX) Research & Development (2009 - 2026)
Lam Research (LRCX) recorded Research & Development of $642.92 million in fiscal Q4 2026 (quarter ended Jun 28, 2026), up 10.8% from $580.18 million a year earlier and up 10.2% from the prior quarter.
Lam Research (LRCX) Research & Development (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Lam Research reported Research & Development of $2.38 billion, up 13.3% from FY2025.
- Annual Research & Development has increased for 17 straight fiscal years, with a five-year compound annual growth rate of 9.7% (FY2021 to FY2026).
- Across earlier fiscal years, Research & Development came in at $2.1 billion in FY2025 (+10.2%), $1.9 billion in FY2024 (+10.1%), $1.73 billion in FY2023 (+7.7%) and $1.6 billion in FY2022 (+7.4%).
- The fiscal Q4 2026 figure is the highest quarterly Research & Development in data going back to fiscal Q1 2010.
- On a year-over-year basis, Research & Development has increased for 11 consecutive quarters, with growth averaging 12.0% over the last eight quarters.
- Peak year-over-year performance for Research & Development in the last five years was growth of 23.9% in fiscal Q4 2024, against a decline of 2.5% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $583.2 million (Q3 2026), $573.31 million (Q2 2026) and $576.45 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | 7.05 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | 2.31 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | 2.90 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | 1.32 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | 2.53 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | - |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | 3.37 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | 642.92 Mn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | 1.10 Bn |
| 10 | Arm Holdings | 307.33 Bn | 293.04 Bn | 1.25 Bn | -838.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 642.92 Mn |
| Mar 29, 2026 | 583.20 Mn |
| Dec 28, 2025 | 573.31 Mn |
| Sep 28, 2025 | 576.45 Mn |
| Jun 29, 2025 | 580.18 Mn |
| Mar 30, 2025 | 525.90 Mn |
| Dec 29, 2024 | 494.95 Mn |
| Sep 29, 2024 | 495.36 Mn |
| Jun 30, 2024 | 497.83 Mn |
| Mar 31, 2024 | 512.27 Mn |
| Dec 24, 2023 | 469.71 Mn |
| Sep 24, 2023 | 422.63 Mn |
| Jun 25, 2023 | 401.95 Mn |
| Mar 26, 2023 | 429.45 Mn |
| Dec 25, 2022 | 462.39 Mn |
| Sep 25, 2022 | 433.38 Mn |
| Jun 26, 2022 | 411.16 Mn |
| Mar 27, 2022 | 407.12 Mn |
| Dec 26, 2021 | 403.64 Mn |
| Sep 26, 2021 | 382.33 Mn |
Lam Research Research & Development 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=research-and-development&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();