Lam Research (LRCX) Interest Expenses (2010 - 2015)
Lam Research's Interest Expenses was $24.66 million in fiscal Q1 2016 (quarter ended Sep 27, 2015), up 57.0% from $15.7 million a year earlier and up 0.4% from the prior quarter.
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Analysis
Lam Research (LRCX) Interest Expenses (2010 - 2015) Analysis & Trends
On a trailing twelve-month basis, Lam Research's Interest Expenses was $82.64 million through Sep 27, 2015, up 33.1% year-over-year; for FY2015 (ended Jun 28, 2015), it came in at $73.68 million, up 19.4% from FY2014.
- Interest Expenses has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 136.6% (FY2010 to FY2015).
- In earlier fiscal years, Interest Expenses was $61.69 million in FY2014 (+2.1%), $60.41 million in FY2013 (+55.0%), $38.96 million in FY2012 (+624.2%) and $5.38 million in FY2011 (+441.2%).
- The fiscal Q1 2016 figure marks the highest quarterly Interest Expenses in data going back to fiscal Q1 2011.
- Compared with a year earlier, Interest Expenses has increased for 14 straight quarters, with growth averaging 17.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Interest Expenses ran from 1.0% in fiscal Q1 2014 to 116.0% in fiscal Q4 2012.
- Per Business Quant data, LRCX's Interest Expenses in the three fiscal quarters before Q1 2016 was $24.55 million (Q4 2015), $17.63 million (Q3 2015) and $15.8 million (Q2 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | -97.61 Mn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | 778.00 Mn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | 37.00 Mn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | - |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | - |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | 68.00 Mn |
| 10 | Arm Holdings | 307.33 Bn | 293.04 Bn | 1.25 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2015 | 24.66 Mn |
| Jun 28, 2015 | 24.55 Mn |
| Mar 29, 2015 | 17.63 Mn |
| Dec 28, 2014 | 15.80 Mn |
| Sep 28, 2014 | 15.70 Mn |
| Jun 29, 2014 | 15.47 Mn |
| Mar 30, 2014 | 15.62 Mn |
| Dec 29, 2013 | 15.30 Mn |
| Sep 29, 2013 | 15.30 Mn |
| Jun 30, 2013 | 15.11 Mn |
| Mar 31, 2013 | 15.18 Mn |
| Dec 23, 2012 | 14.98 Mn |
| Sep 23, 2012 | 15.14 Mn |
| Jun 24, 2012 | 10.93 Mn |
| Mar 25, 2012 | 9.42 Mn |
| Dec 25, 2011 | 9.35 Mn |
| Sep 25, 2011 | 9.26 Mn |
| Jun 26, 2011 | 5.06 Mn |
| Mar 27, 2011 | 107,000.00 |
| Dec 26, 2010 | 110,000.00 |
API Access
Lam Research Interest Expenses 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=interest-expenses&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();