Lam Research (LRCX) Change in Property, Plant and Equipment (2009 - 2026)
Lam Research's Change in Property, Plant and Equipment came in at -$257.7 million for fiscal Q1 2027 (quarter ended Sep 27, 2026), compared with -$185.12 million a year earlier.
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Analysis
Lam Research (LRCX) Change in Property, Plant and Equipment (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 27, 2026, Lam Research reported Change in Property, Plant and Equipment of -$1.04 billion; for FY2026 (ended Jun 28, 2026), it came in at -$966.41 million.
- Going back by fiscal year, Change in Property, Plant and Equipment was -$759.19 million in FY2025, -$396.67 million in FY2024, -$501.57 million in FY2023 and -$546.03 million in FY2022.
- The five-year range for quarterly Change in Property, Plant and Equipment is -$331.6 million (fiscal Q3 2026) to -$76.99 million (fiscal Q1 2024).
- Business Quant data shows LRCX's Change in Property, Plant and Equipment at -$188.8 million (Q4 2026), -$331.6 million (Q3 2026) and -$260.88 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | -2.68 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 5.68 Mn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | -532.00 Mn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | -11.11 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | -648.00 Mn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | -4.02 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | -707.00 Mn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | -463.00 Mn |
| 10 | Lam Research | 251.05 Bn | 227.10 Bn | 4.30 Bn | -257.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | -257.70 Mn |
| Jun 28, 2026 | -188.80 Mn |
| Mar 29, 2026 | -331.60 Mn |
| Dec 28, 2025 | -260.88 Mn |
| Sep 28, 2025 | -185.12 Mn |
| Jun 29, 2025 | -172.19 Mn |
| Mar 30, 2025 | -288.06 Mn |
| Dec 29, 2024 | -188.35 Mn |
| Sep 29, 2024 | -110.59 Mn |
| Jun 30, 2024 | -100.75 Mn |
| Mar 31, 2024 | -103.65 Mn |
| Dec 24, 2023 | -115.28 Mn |
| Sep 24, 2023 | -76.99 Mn |
| Jun 25, 2023 | -78.67 Mn |
| Mar 26, 2023 | -119.46 Mn |
| Dec 25, 2022 | -163.38 Mn |
| Sep 25, 2022 | -140.06 Mn |
| Jun 26, 2022 | -125.75 Mn |
| Mar 27, 2022 | -145.37 Mn |
| Dec 26, 2021 | -138.49 Mn |
API Access
Lam Research Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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=change-in-property-plant-and-equipment&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();