Lam Research (LRCX) EBIT (2009 - 2026)
Lam Research's EBIT came in at $3.28 billion for fiscal Q1 2027 (quarter ended Sep 27, 2026), up 79.5% from $1.83 billion a year earlier and up 30.6% from the prior quarter.
Lam Research (LRCX) EBIT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 27, 2026, Lam Research reported EBIT of $9.65 billion, up 49.3% year-over-year; for FY2026 (ended Jun 28, 2026), it was $8.2 billion, up 39.0% from FY2025.
- EBIT carries a five-year compound annual growth rate of 12.8% (FY2021 to FY2026).
- Going back by fiscal year, EBIT was $5.9 billion in FY2025 (+38.4%), $4.26 billion in FY2024 (-17.6%), $5.17 billion in FY2023 (-3.8%) and $5.38 billion in FY2022 (+20.1%).
- The fiscal Q1 2027 figure represents the highest quarterly EBIT in data going back to fiscal Q1 2010.
- Year-over-year, EBIT has increased for 11 consecutive quarters, with growth averaging 45.5% over the last eight quarters.
- The fastest year-over-year change in EBIT over five years came in fiscal Q1 2027 (growth of 79.5%), and the weakest in fiscal Q4 2023 (a decline of 42.2%).
- Business Quant data shows LRCX's EBIT at $2.51 billion (Q4 2026), $2.05 billion (Q3 2026) and $1.81 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,327.95 Bn | 4,102.11 Bn | 72.14 Bn | 63.73 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,021.32 Bn | 1,646.18 Bn | 27.22 Bn | 24.25 Bn |
| 3 | Broadcom | 1,522.98 Bn | 1,449.02 Bn | 20.46 Bn | 15.96 Bn |
| 4 | Advanced Micro Devices | 833.00 Bn | 781.21 Bn | 7.21 Bn | 2.83 Bn |
| 5 | Micron Technology | 825.21 Bn | 730.84 Bn | 47.05 Bn | 43.75 Bn |
| 6 | Asml Holding | 588.40 Bn | 544.09 Bn | 5.90 Bn | - |
| 7 | Intel | 311.39 Bn | 157.45 Bn | 7.10 Bn | 2.52 Bn |
| 8 | Applied Materials | 294.37 Bn | 259.81 Bn | 4.59 Bn | 3.08 Bn |
| 9 | Lam Research | 277.05 Bn | 253.10 Bn | 4.30 Bn | 3.28 Bn |
| 10 | Texas Instruments | 270.72 Bn | 245.59 Bn | 3.89 Bn | 2.87 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 3.28 Bn |
| 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 |
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();