Lam Research (LRCX) Selling, General & Administrative (2009 - 2026)
Lam Research's Selling, General & Administrative was $322.33 million in fiscal Q4 2026 (quarter ended Jun 28, 2026), up 20.1% from $268.4 million a year earlier and up 15.0% from the prior quarter.
Lam Research (LRCX) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Selling, General & Administrative at Lam Research came in at $1.15 billion, up 17.1% from FY2025.
- Selling, General & Administrative has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 6.7% (FY2021 to FY2026).
- In earlier fiscal years, Selling, General & Administrative was $981.7 million in FY2025 (+13.1%), $868.25 million in FY2024 (+4.3%), $832.75 million in FY2023 (-6.0%) and $885.74 million in FY2022 (+6.7%).
- The fiscal Q4 2026 figure marks the highest quarterly Selling, General & Administrative in data going back to fiscal Q1 2010.
- Compared with a year earlier, Selling, General & Administrative has increased for ten straight quarters, with growth averaging 15.2% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q3 2026 (growth of 24.0%); the worst was fiscal Q3 2023 (a decline of 11.0%).
- Per Business Quant data, LRCX's Selling, General & Administrative in the three fiscal quarters before Q4 2026 was $280.31 million (Q3 2026), $267.65 million (Q2 2026) and $279.35 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 1.35 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 676.02 Mn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 996.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 407.00 Mn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 1.40 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 1.18 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 322.33 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 162.00 Mn |
| 10 | Arm Holdings | 326.25 Bn | 311.96 Bn | 1.25 Bn | -317.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 322.33 Mn |
| Mar 29, 2026 | 280.31 Mn |
| Dec 28, 2025 | 267.65 Mn |
| Sep 28, 2025 | 279.35 Mn |
| Jun 29, 2025 | 268.40 Mn |
| Mar 30, 2025 | 226.02 Mn |
| Dec 29, 2024 | 244.15 Mn |
| Sep 29, 2024 | 243.13 Mn |
| Jun 30, 2024 | 216.48 Mn |
| Mar 31, 2024 | 215.90 Mn |
| Dec 24, 2023 | 228.84 Mn |
| Sep 24, 2023 | 207.02 Mn |
| Jun 25, 2023 | 199.83 Mn |
| Mar 26, 2023 | 193.50 Mn |
| Dec 25, 2022 | 233.80 Mn |
| Sep 25, 2022 | 205.62 Mn |
| Jun 26, 2022 | 210.00 Mn |
| Mar 27, 2022 | 217.41 Mn |
| Dec 26, 2021 | 236.13 Mn |
| Sep 26, 2021 | 222.19 Mn |
Lam Research Selling, General & Administrative 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=selling-general-and-administrative&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();