Lam Research (LRCX) Receivables (2010 - 2026)
Lam Research (LRCX) posted Receivables of $5.66 billion for fiscal Q1 2027 (quarter ended Sep 27, 2026), up 55.7% from $3.63 billion a year earlier and up 6.0% from the prior quarter.
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Analysis
Lam Research (LRCX) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 28, 2026), Lam Research's Receivables came in at $5.34 billion, up 58.1% from FY2025.
- 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 Q1 2027 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 nine quarters, with growth averaging 34.2% 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 $5.34 billion (Q4 2026), $4.13 billion (Q3 2026) and $3.49 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,576.54 Bn | 24,560.31 Bn | 43.99 Bn | 31.02 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,284.32 Bn | 9,899.31 Bn | 27.22 Bn | 13.84 Bn |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn | 63.30 Bn |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn | 20.89 Bn |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn | 9.21 Bn |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn | 36.65 Bn |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn | 4.07 Bn |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn | 4.09 Bn |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn | 7.69 Bn |
| 10 | Lam Research | 277.80 Bn | 253.85 Bn | 4.30 Bn | 5.66 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 5.66 Bn |
| 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 |
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();