Lam Research (LRCX) Prepaid Assets (2010 - 2026)
Lam Research (LRCX) reported Prepaid Assets of $415.74 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), down 5.6% from $440.27 million a year earlier but up 0.6% from the prior quarter.
Lam Research (LRCX) Prepaid Assets (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Lam Research's Prepaid Assets record includes 64 quarters.
- Prepaid Assets has a five-year compound annual growth rate of 14.9% (FY2021 to FY2026).
- By fiscal year, Prepaid Assets came in at $440.27 million in FY2025 (+47.6%), $298.19 million in FY2024 (+18.4%), $251.79 million in FY2023 (-27.5%) and $347.39 million in FY2022 (+67.4%).
- Five-year quarterly Prepaid Assets spans a low of $216.46 million in fiscal Q3 2023 and a high of $440.27 million in fiscal Q4 2025.
- Year over year, Prepaid Assets gained in six of the last eight quarters, with growth averaging 16.3%.
- The high point for year-over-year Prepaid Assets in five years was fiscal Q3 2022 (growth of 104.8%); the low point was fiscal Q3 2023 (a decline of 38.4%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $413.1 million (Q3 2026), $307.91 million (Q2 2026) and $385.58 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn |
| 10 | Arm Holdings | 307.33 Bn | 293.04 Bn | 1.25 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 415.74 Mn |
| Mar 29, 2026 | 413.10 Mn |
| Dec 28, 2025 | 307.91 Mn |
| Sep 28, 2025 | 385.58 Mn |
| Jun 29, 2025 | 440.27 Mn |
| Mar 30, 2025 | 318.15 Mn |
| Dec 29, 2024 | 284.37 Mn |
| Sep 29, 2024 | 277.80 Mn |
| Jun 30, 2024 | 298.19 Mn |
| Mar 31, 2024 | 289.53 Mn |
| Dec 24, 2023 | 279.24 Mn |
| Sep 24, 2023 | 278.12 Mn |
| Jun 25, 2023 | 251.79 Mn |
| Mar 26, 2023 | 216.46 Mn |
| Dec 25, 2022 | 230.89 Mn |
| Sep 25, 2022 | 305.55 Mn |
| Jun 26, 2022 | 347.39 Mn |
| Mar 27, 2022 | 351.66 Mn |
| Dec 26, 2021 | 296.71 Mn |
| Sep 26, 2021 | 263.74 Mn |
Lam Research Prepaid Assets 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=prepaid-assets&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();