Lam Research (LRCX) EBIT (2009 - 2026)
Lam Research (LRCX) posted EBIT of $2.5 billion for Q2 2026, up 22.79% on a QoQ basis from $2.0 billion in Q1 2026, and up 44.36% year-over-year from $1.7 billion in Q2 2025.
Lam Research (LRCX) EBIT (2009 - 2026) Analysis & Trends
Lam Research has reported EBIT for 18 years, with the latest figure at $2.5 billion in Q2 2026.
- On a quarterly basis, EBIT rose 44.36% year-over-year to $2.5 billion in Q2 2026; TTM through Jun 2026 was $8.2 billion, a 38.96% increase from a year earlier, with the FY2026 full-year figure at $8.2 billion, up 38.96% from the prior year.
- EBIT was $2.5 billion for Q2 2026 at Lam Research, up from $2.0 billion in the prior quarter.
- The five-year high for EBIT was $2.5 billion in Q2 2026, with the low at $854.6 million in Q2 2023.
- Average EBIT over 5 years is $1.5 billion, with a median of $1.4 billion recorded in 2022.
- The sharpest annual moves came in 2023 and 2025: EBIT tumbled 42.23% in 2023, then soared 54.55% in 2025.
- Over 5 years, EBIT stood at $1.7 billion in 2022, then sank by 37.08% to $1.1 billion in 2023, then climbed by 26.17% to $1.3 billion in 2024, then jumped by 35.71% to $1.8 billion in 2025, then jumped by 38.85% to $2.5 billion in 2026.
- The last three EBIT figures came in at $2.5 billion (Q2 2026), $2.0 billion (Q1 2026), and $1.8 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,434.79 Bn | 5,369.56 Bn | 72.14 Bn | 63.73 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,317.02 Bn | 2,212.96 Bn | 27.22 Bn | 24.25 Bn |
| 3 | Broadcom | 1,694.72 Bn | 1,670.75 Bn | 20.46 Bn | 15.96 Bn |
| 4 | Micron Technology | 1,210.15 Bn | 1,184.13 Bn | 35.06 Bn | 33.32 Bn |
| 5 | Advanced Micro Devices | 1,003.04 Bn | 989.93 Bn | 6.20 Bn | 1.99 Bn |
| 6 | Asml Holding | 672.40 Bn | 656.42 Bn | 5.90 Bn | - |
| 7 | Intel | 618.27 Bn | 604.15 Bn | 6.51 Bn | 1.80 Bn |
| 8 | Lam Research | 384.49 Bn | 378.91 Bn | 3.48 Bn | 2.51 Bn |
| 9 | Applied Materials | 376.47 Bn | 367.23 Bn | 4.59 Bn | 3.08 Bn |
| 10 | Arm Holdings | 352.85 Bn | 348.96 Bn | 1.25 Bn | 91.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.51 Bn |
| Mar 29, 2026 | 2.05 Bn |
| Dec 28, 2025 | 1.81 Bn |
| Sep 28, 2025 | 1.83 Bn |
| Jun 29, 2025 | 1.74 Bn |
| Mar 30, 2025 | 1.56 Bn |
| Dec 29, 2024 | 1.33 Bn |
| Sep 29, 2024 | 1.26 Bn |
| Jun 30, 2024 | 1.13 Bn |
| Mar 31, 2024 | 1.06 Bn |
| Dec 24, 2023 | 1.06 Bn |
| Sep 24, 2023 | 1.02 Bn |
| Jun 25, 2023 | 854.61 Mn |
| Mar 26, 2023 | 942.25 Mn |
| Dec 25, 2022 | 1.68 Bn |
| Sep 25, 2022 | 1.70 Bn |
| Jun 26, 2022 | 1.48 Bn |
| Mar 27, 2022 | 1.19 Bn |
| Dec 26, 2021 | 1.34 Bn |
| Sep 26, 2021 | 1.37 Bn |
Lam Research EBIT 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=ebit&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();