Lam Research (LRCX) Receivables (2010 - 2026)
Lam Research (LRCX) posted Receivables of $5.34 billion for fiscal Q4 2026 (quarter ended Jun 28, 2026), up 58.1% from $3.38 billion a year earlier and up 29.2% from the prior quarter.
Powered by 
Analysis
Lam Research (LRCX) Receivables (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Lam Research has reported Receivables for 65 quarters.
- Annual Receivables shows a five-year compound annual growth rate of 12.0% (FY2021 to FY2026).
- In prior fiscal years, Lam Research's Receivables was $3.38 billion in FY2025 (+34.1%), $2.52 billion in FY2024 (-10.8%), $2.82 billion in FY2023 (-34.6%) and $4.31 billion in FY2022 (+42.5%).
- The fiscal Q4 2026 figure stands as the highest quarterly Receivables in data going back to fiscal Q4 2010.
- On a year-over-year basis, Receivables has increased in each of the last eight quarters, with growth averaging 27.8% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q4 2026, with growth of 58.1%; the weakest was fiscal Q1 2024, with a decline of 38.5%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $4.13 billion (Q3 2026), $3.49 billion (Q2 2026) and $3.63 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | 63.30 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | 13.95 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | 20.89 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 31.23 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | 7.28 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | 4.03 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | 4.03 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | 5.34 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 7.69 Bn |
| 10 | Arm Holdings | 310.17 Bn | 295.88 Bn | 1.25 Bn | 2.10 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 5.34 Bn |
| Mar 29, 2026 | 4.13 Bn |
| Dec 28, 2025 | 3.49 Bn |
| Sep 28, 2025 | 3.63 Bn |
| Jun 29, 2025 | 3.38 Bn |
| Mar 30, 2025 | 3.23 Bn |
| Dec 29, 2024 | 3.30 Bn |
| Sep 29, 2024 | 2.94 Bn |
| Jun 30, 2024 | 2.52 Bn |
| Mar 31, 2024 | 2.20 Bn |
| Dec 24, 2023 | 2.71 Bn |
| Sep 24, 2023 | 2.81 Bn |
| Jun 25, 2023 | 2.82 Bn |
| Mar 26, 2023 | 3.26 Bn |
| Dec 25, 2022 | 4.07 Bn |
| Sep 25, 2022 | 4.57 Bn |
| Jun 26, 2022 | 4.31 Bn |
| Mar 27, 2022 | 3.70 Bn |
| Dec 26, 2021 | 3.40 Bn |
| Sep 26, 2021 | 3.40 Bn |
API Access
Lam Research Receivables 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=receivables&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();