Lam Research (LRCX) Long-Term Debt Repayments (2009 - 2026)
Lam Research's Long-Term Debt Repayments was $253.11 million in fiscal Q1 2024 (quarter ended Sep 24, 2023), compared with $1.85 million a year earlier.
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Analysis
Lam Research (LRCX) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lam Research's Long-Term Debt Repayments was $274.25 million through Sep 24, 2023; for FY2020 (ended Jun 28, 2020), it was $667.54 million, up 467.4% from FY2019.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 237.9% (FY2015 to FY2020).
- In earlier fiscal years, Long-Term Debt Repayments was $117.65 million in FY2019 (-84.4%), $755.69 million in FY2018 (-55.2%), $1.69 billion in FY2017 (+273.9%) and $451.5 million in FY2016.
- The fiscal Q1 2024 figure marks the highest quarterly Long-Term Debt Repayments since fiscal Q3 2020.
- Compared with a year earlier, Long-Term Debt Repayments was higher in two of the last five quarters, with growth averaging 140.9%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q2 2023 (growth of 906.0%); the worst was fiscal Q4 2019 (a decline of 99.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,136.26 Bn | 4,910.42 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,136.54 Bn | 1,761.41 Bn | 27.22 Bn | -8.28 Mn |
| 3 | Broadcom | 1,540.90 Bn | 1,466.94 Bn | 20.46 Bn | 5.63 Bn |
| 4 | Micron Technology | 967.10 Bn | 872.74 Bn | 47.05 Bn | 663.00 Mn |
| 5 | Advanced Micro Devices | 829.08 Bn | 785.83 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 608.19 Bn | 563.87 Bn | 5.90 Bn | - |
| 7 | Intel | 435.73 Bn | 304.86 Bn | 6.51 Bn | 8.33 Bn |
| 8 | Applied Materials | 298.50 Bn | 263.94 Bn | 4.59 Bn | - |
| 9 | Lam Research | 288.46 Bn | 265.26 Bn | 3.48 Bn | 1.36 Mn |
| 10 | Texas Instruments | 256.17 Bn | 234.00 Bn | 3.35 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.36 Mn |
| Mar 29, 2026 | 751.19 Mn |
| Dec 28, 2025 | 1.46 Mn |
| Sep 28, 2025 | 1.42 Mn |
| Jun 29, 2025 | 1.49 Mn |
| Mar 30, 2025 | 504.04 Mn |
| Dec 29, 2024 | 1.03 Mn |
| Sep 29, 2024 | 934,000.00 |
| Jun 30, 2024 | 949,000.00 |
| Mar 31, 2024 | 1.06 Mn |
| Dec 24, 2023 | 986,000.00 |
| Sep 24, 2023 | 253.11 Mn |
| Jun 25, 2023 | 2.06 Mn |
| Mar 26, 2023 | 2.21 Mn |
| Dec 25, 2022 | 17.08 Mn |
| Sep 25, 2022 | 1.85 Mn |
| Jun 26, 2022 | 2.03 Mn |
| Mar 27, 2022 | 1.82 Mn |
| Dec 26, 2021 | 1.70 Mn |
| Sep 26, 2021 | 6.34 Mn |
API Access
Lam Research Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();