Lam Research (LRCX) Cost of Revenue (2009 - 2026)
Lam Research (LRCX) recorded Cost of Revenue of $3.24 billion in fiscal Q4 2026 (quarter ended Jun 28, 2026), up 25.6% from $2.58 billion a year earlier and up 10.7% from the prior quarter.
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Analysis
Lam Research (LRCX) Cost of Revenue (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Lam Research reported Cost of Revenue of $11.51 billion, up 21.7% from FY2025.
- Annual Cost of Revenue has a five-year compound annual growth rate of 8.0% (FY2021 to FY2026).
- Across earlier fiscal years, Cost of Revenue came in at $9.46 billion in FY2025 (+20.4%), $7.85 billion in FY2024 (-18.6%), $9.65 billion in FY2023 (+3.2%) and $9.36 billion in FY2022 (+19.6%).
- The fiscal Q4 2026 figure is the highest quarterly Cost of Revenue in data going back to fiscal Q1 2010.
- On a year-over-year basis, Cost of Revenue has increased for nine consecutive quarters, with growth averaging 21.0% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 39.3% in fiscal Q1 2022, against a decline of 33.2% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.93 billion (Q3 2026), $2.69 billion (Q2 2026) and $2.64 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,258.66 Bn | 5,032.83 Bn | 72.14 Bn | 24.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,186.01 Bn | 1,810.88 Bn | 27.22 Bn | 12.97 Bn |
| 3 | Broadcom | 1,641.55 Bn | 1,567.60 Bn | 20.46 Bn | 9.14 Bn |
| 4 | Micron Technology | 1,047.64 Bn | 953.27 Bn | 47.05 Bn | 7.18 Bn |
| 5 | Advanced Micro Devices | 917.54 Bn | 874.29 Bn | 6.20 Bn | 5.33 Bn |
| 6 | Asml Holding | 643.92 Bn | 599.61 Bn | 5.90 Bn | 5.45 Bn |
| 7 | Intel | 487.69 Bn | 356.82 Bn | 6.51 Bn | 9.62 Bn |
| 8 | Lam Research | 348.49 Bn | 325.29 Bn | 3.48 Bn | 3.24 Bn |
| 9 | Applied Materials | 342.16 Bn | 307.60 Bn | 4.59 Bn | 4.53 Bn |
| 10 | Arm Holdings | 259.71 Bn | 245.42 Bn | 1.25 Bn | 36.00 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();