Lam Research (LRCX) Cost of Revenue (2009 - 2026)
Lam Research (LRCX) posted Cost of Revenue of $3.2 billion for Q2 2026, up 10.66% on a QoQ basis from $2.9 billion in Q1 2026, and up 25.63% year-over-year from $2.6 billion in Q2 2025.
Lam Research (LRCX) Cost of Revenue (2009 - 2026) Analysis & Trends
Lam Research has reported Cost of Revenue for 18 years, with the latest figure at $3.2 billion in Q2 2026.
- On a quarterly basis, Cost of Revenue rose 25.63% year-over-year to $3.2 billion in Q2 2026; TTM through Jun 2026 was $11.5 billion, a 21.69% increase from a year earlier, with the FY2026 full-year figure at $11.5 billion, up 21.69% from the prior year.
- Cost of Revenue was $3.2 billion for Q2 2026 at Lam Research, up from $2.9 billion in the prior quarter.
- The five-year high for Cost of Revenue was $3.2 billion in Q2 2026, with the low at $1.7 billion in Q2 2023.
- Average Cost of Revenue over 5 years is $2.4 billion, with a median of $2.4 billion recorded in 2024.
- The sharpest annual moves came in 2022 and 2023: Cost of Revenue advanced 29.02% in 2022, then plunged 33.24% in 2023.
- Over 5 years, Cost of Revenue stood at $2.9 billion in 2022, then plunged by 31.04% to $2.0 billion in 2023, then gained by 15.11% to $2.3 billion in 2024, then grew by 16.96% to $2.7 billion in 2025, then climbed by 20.41% to $3.2 billion in 2026.
- The last three Cost of Revenue figures came in at $3.2 billion (Q2 2026), $2.9 billion (Q1 2026), and $2.7 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,434.79 Bn | 5,369.56 Bn | 72.14 Bn | 24.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,317.02 Bn | 2,212.96 Bn | 27.22 Bn | 12.97 Bn |
| 3 | Broadcom | 1,694.72 Bn | 1,670.75 Bn | 20.46 Bn | 9.14 Bn |
| 4 | Micron Technology | 1,210.15 Bn | 1,184.13 Bn | 35.06 Bn | 6.40 Bn |
| 5 | Advanced Micro Devices | 1,003.04 Bn | 989.93 Bn | 6.20 Bn | 5.33 Bn |
| 6 | Asml Holding | 672.40 Bn | 656.42 Bn | 5.90 Bn | 5.41 Bn |
| 7 | Intel | 618.27 Bn | 604.15 Bn | 6.51 Bn | 9.62 Bn |
| 8 | Lam Research | 384.49 Bn | 378.91 Bn | 3.48 Bn | 3.24 Bn |
| 9 | Applied Materials | 376.47 Bn | 367.23 Bn | 4.59 Bn | 4.53 Bn |
| 10 | Arm Holdings | 352.85 Bn | 348.96 Bn | 1.25 Bn | 36.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 3.24 Bn |
| Mar 29, 2026 | 2.93 Bn |
| Dec 28, 2025 | 2.69 Bn |
| Sep 28, 2025 | 2.64 Bn |
| Jun 29, 2025 | 2.58 Bn |
| Mar 30, 2025 | 2.41 Bn |
| Dec 29, 2024 | 2.30 Bn |
| Sep 29, 2024 | 2.17 Bn |
| Jun 30, 2024 | 2.03 Bn |
| Mar 31, 2024 | 1.99 Bn |
| Dec 24, 2023 | 2.00 Bn |
| Sep 24, 2023 | 1.83 Bn |
| Jun 25, 2023 | 1.75 Bn |
| Mar 26, 2023 | 2.26 Bn |
| Dec 25, 2022 | 2.90 Bn |
| Sep 25, 2022 | 2.74 Bn |
| Jun 26, 2022 | 2.54 Bn |
| Mar 27, 2022 | 2.24 Bn |
| Dec 26, 2021 | 2.25 Bn |
| Sep 26, 2021 | 2.33 Bn |
Lam Research Cost of Revenue 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=cost-of-revenue&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();