Lam Research (LRCX) Long-Term Debt Repayments (2009 - 2026)
Lam Research's Long-Term Debt Repayments was $34.49 million in fiscal Q1 2027 (quarter ended Sep 27, 2026), compared with $1.42 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 $788.5 million through Sep 27, 2026, up 55.2% year-over-year; for FY2026 (ended Jun 28, 2026), it was $755.43 million, up 48.9% from FY2025.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -2.6% (FY2021 to FY2026).
- In earlier fiscal years, Long-Term Debt Repayments was $507.49 million in FY2025 (+98.2%), $256.1 million in FY2024, $23.21 million in FY2023 (+95.2%) and $11.89 million in FY2022 (-98.6%).
- Quarterly Long-Term Debt Repayments has moved between $934,000 (fiscal Q1 2025) and $751.19 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in five of the last six quarters, with growth averaging 32.5%.
- 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 2022 (a decline of 99.8%).
- Per Business Quant data, LRCX's Long-Term Debt Repayments in the three fiscal quarters before Q1 2027 was $1.36 million (Q4 2026), $751.19 million (Q3 2026) and $1.46 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | -3.20 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | -8.18 Mn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | - |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | -10.53 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 663.00 Mn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | - |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 119.00 Mn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn | 34.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 34.49 Mn |
| 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 |
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();