Lam Research (LRCX) Accounts Payables (2009 - 2026)
Lam Research's Accounts Payables came in at $1.59 billion for fiscal Q1 2027 (quarter ended Sep 27, 2026), up 84.5% from $863.16 million a year earlier and up 22.2% from the prior quarter.
Powered by 
Analysis
Lam Research (LRCX) Accounts Payables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 28, 2026), Lam Research's Accounts Payables was $1.3 billion, up 52.5% from FY2025.
- Accounts Payables has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 9.4% (FY2021 to FY2026).
- Going back by fiscal year, Accounts Payables was $854.21 million in FY2025 (+39.1%), $613.97 million in FY2024 (+30.4%), $470.7 million in FY2023 (-53.5%) and $1.01 billion in FY2022 (+21.9%).
- The fiscal Q1 2027 figure represents the highest quarterly Accounts Payables in data going back to fiscal Q4 2010.
- Year-over-year, Accounts Payables has increased for ten consecutive quarters, with growth averaging 46.8% over the last eight quarters.
- The fastest year-over-year change in Accounts Payables over five years came in fiscal Q1 2027 (growth of 84.5%), and the weakest in fiscal Q1 2024 (a decline of 53.9%).
- Business Quant data shows LRCX's Accounts Payables at $1.3 billion (Q4 2026), $1.07 billion (Q3 2026) and $1.03 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 3.79 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 15.06 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 4.00 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 22.61 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 7.76 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 4.14 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 8.83 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 6.70 Bn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn | 1.59 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 1.59 Bn |
| Jun 28, 2026 | 1.30 Bn |
| Mar 29, 2026 | 1.07 Bn |
| Dec 28, 2025 | 1.03 Bn |
| Sep 28, 2025 | 863.16 Mn |
| Jun 29, 2025 | 854.21 Mn |
| Mar 30, 2025 | 853.31 Mn |
| Dec 29, 2024 | 822.28 Mn |
| Sep 29, 2024 | 704.25 Mn |
| Jun 30, 2024 | 613.97 Mn |
| Mar 31, 2024 | 531.65 Mn |
| Dec 24, 2023 | 499.70 Mn |
| Sep 24, 2023 | 528.16 Mn |
| Jun 25, 2023 | 470.70 Mn |
| Mar 26, 2023 | 601.93 Mn |
| Dec 25, 2022 | 919.41 Mn |
| Sep 25, 2022 | 1.15 Bn |
| Jun 26, 2022 | 1.01 Bn |
| Mar 27, 2022 | 1.01 Bn |
| Dec 26, 2021 | 952.67 Mn |
API Access
Lam Research Accounts Payables 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=accounts-payables&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();