Lam Research (LRCX) Property, Plant & Equipment (Net) (2010 - 2026)
Lam Research (LRCX) recorded Property, Plant & Equipment (Net) of $2.96 billion in fiscal Q4 2026 (quarter ended Jun 28, 2026), up 21.7% from $2.43 billion a year earlier and up 3.6% from the prior quarter.
Lam Research (LRCX) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
Starting with fiscal Q4 2010, Lam Research's Property, Plant & Equipment (Net) history includes 64 quarters.
- Annual Property, Plant & Equipment (Net) has increased for 12 straight fiscal years, with a five-year compound annual growth rate of 17.8% (FY2021 to FY2026).
- Across earlier fiscal years, Property, Plant & Equipment (Net) came in at $2.43 billion in FY2025 (+12.7%), $2.15 billion in FY2024 (+16.0%), $1.86 billion in FY2023 (+12.7%) and $1.65 billion in FY2022 (+26.4%).
- The fiscal Q4 2026 figure is the highest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q4 2010.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for 47 consecutive quarters, with growth averaging 13.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Property, Plant & Equipment (Net) ran from 4.9% in fiscal Q1 2025 to 26.4% in fiscal Q4 2022.
- Per Business Quant, the preceding three fiscal quarters came in at $2.85 billion (Q3 2026), $2.71 billion (Q2 2026) and $2.51 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 14.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 136.14 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 3.14 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 56.43 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 3.44 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 9.19 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 105.74 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 2.96 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 5.61 Bn |
| 10 | Arm Holdings | 326.25 Bn | 311.96 Bn | 1.25 Bn | 923.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.96 Bn |
| Mar 29, 2026 | 2.85 Bn |
| Dec 28, 2025 | 2.71 Bn |
| Sep 28, 2025 | 2.51 Bn |
| Jun 29, 2025 | 2.43 Bn |
| Mar 30, 2025 | 2.37 Bn |
| Dec 29, 2024 | 2.31 Bn |
| Sep 29, 2024 | 2.21 Bn |
| Jun 30, 2024 | 2.15 Bn |
| Mar 31, 2024 | 2.18 Bn |
| Dec 24, 2023 | 2.15 Bn |
| Sep 24, 2023 | 2.11 Bn |
| Jun 25, 2023 | 1.86 Bn |
| Mar 26, 2023 | 1.86 Bn |
| Dec 25, 2022 | 1.86 Bn |
| Sep 25, 2022 | 1.72 Bn |
| Jun 26, 2022 | 1.65 Bn |
| Mar 27, 2022 | 1.56 Bn |
| Dec 26, 2021 | 1.50 Bn |
| Sep 26, 2021 | 1.37 Bn |
Lam Research Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();