Lam Research (LRCX) Payables (2009 - 2026)
Lam Research (LRCX) reported Payables of $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) Payables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 28, 2026), Lam Research posted Payables of $1.3 billion, up 52.5% from FY2025.
- Payables has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 9.4% (FY2021 to FY2026).
- By fiscal year, Payables came in at $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 ranks as the highest quarterly Payables in data going back to fiscal Q4 2010.
- Year over year, Payables has now increased in each of the last ten quarters, with growth averaging 46.8% over the last eight quarters.
- The high point for year-over-year Payables in five years was fiscal Q1 2027 (growth of 84.5%); the low point was fiscal Q1 2024 (a decline of 53.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $1.3 billion (Q4 2026), $1.07 billion (Q3 2026) and $1.03 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,576.54 Bn | 24,560.31 Bn | 43.99 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 10,284.32 Bn | 9,899.31 Bn | 27.22 Bn | 14.01 Bn |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn | 15.06 Bn |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn | 4.00 Bn |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn | 7.76 Bn |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn | 22.61 Bn |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn | 4.14 Bn |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn | 8.83 Bn |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn | 7.09 Bn |
| 10 | Lam Research | 277.80 Bn | 253.85 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 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=payables&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();