Lam Research (LRCX) EBITDA (2009 - 2026)
Lam Research (LRCX) posted EBITDA of $3.41 billion for fiscal Q1 2027 (quarter ended Sep 27, 2026), up 76.4% from $1.93 billion a year earlier and up 29.3% from the prior quarter.
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Analysis
Lam Research (LRCX) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 27, 2026, EBITDA at Lam Research was $10.12 billion, up 47.5% year-over-year; for FY2026 (ended Jun 28, 2026), it came in at $8.64 billion, up 37.4% from FY2025.
- Annual EBITDA shows a five-year compound annual growth rate of 12.5% (FY2021 to FY2026).
- In prior fiscal years, Lam Research's EBITDA was $6.29 billion in FY2025 (+36.0%), $4.62 billion in FY2024 (-16.2%), $5.52 billion in FY2023 (-3.5%) and $5.72 billion in FY2022 (+19.3%).
- The fiscal Q1 2027 figure stands as the highest quarterly EBITDA in data going back to fiscal Q1 2010.
- On a year-over-year basis, EBITDA has increased in each of the last 11 quarters, with growth averaging 43.3% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q1 2027, with growth of 76.4%; the weakest was fiscal Q4 2023, with a decline of 39.8%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $2.63 billion (Q4 2026), $2.16 billion (Q3 2026) and $1.91 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,278.61 Bn | 4,052.77 Bn | 72.14 Bn | 64.86 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,026.50 Bn | 1,651.37 Bn | 27.22 Bn | 30.56 Bn |
| 3 | Broadcom | 1,517.40 Bn | 1,443.44 Bn | 20.46 Bn | 18.23 Bn |
| 4 | Micron Technology | 827.34 Bn | 732.97 Bn | 47.05 Bn | 46.39 Bn |
| 5 | Advanced Micro Devices | 817.31 Bn | 765.53 Bn | 7.21 Bn | 3.61 Bn |
| 6 | Asml Holding | 588.55 Bn | 544.23 Bn | 5.90 Bn | - |
| 7 | Intel | 307.25 Bn | 153.31 Bn | 7.10 Bn | 5.75 Bn |
| 8 | Applied Materials | 294.24 Bn | 259.68 Bn | 4.59 Bn | 3.23 Bn |
| 9 | Lam Research | 273.91 Bn | 249.96 Bn | 4.30 Bn | 3.41 Bn |
| 10 | Texas Instruments | 266.71 Bn | 241.58 Bn | 3.89 Bn | 3.45 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 3.41 Bn |
| Jun 28, 2026 | 2.63 Bn |
| Mar 29, 2026 | 2.16 Bn |
| Dec 28, 2025 | 1.91 Bn |
| Sep 28, 2025 | 1.93 Bn |
| Jun 29, 2025 | 1.84 Bn |
| Mar 30, 2025 | 1.66 Bn |
| Dec 29, 2024 | 1.43 Bn |
| Sep 29, 2024 | 1.36 Bn |
| Jun 30, 2024 | 1.21 Bn |
| Mar 31, 2024 | 1.15 Bn |
| Dec 24, 2023 | 1.15 Bn |
| Sep 24, 2023 | 1.11 Bn |
| Jun 25, 2023 | 944.21 Mn |
| Mar 26, 2023 | 1.03 Bn |
| Dec 25, 2022 | 1.77 Bn |
| Sep 25, 2022 | 1.77 Bn |
| Jun 26, 2022 | 1.57 Bn |
| Mar 27, 2022 | 1.28 Bn |
| Dec 26, 2021 | 1.42 Bn |
API Access
Lam Research EBITDA 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=ebitda&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();