Asml Holding (ASML) Interest Expenses (2009 - 2010)
Asml Holding (ASML) reported Interest Expenses of $40.99 million for the year ended Dec 31, 2019, down 14.1% from $47.71 million a year earlier.
Asml Holding (ASML) Interest Expenses (2009 - 2010) Analysis & Trends
Dating back to the year ended Dec 31, 2009, Asml Holding's Interest Expenses record includes 11 years.
- Five-year annual Interest Expenses spans a low of -$62.64 million in the year ended Dec 31, 2017 and a high of $47.71 million in the year ended Dec 31, 2018.
- According to Business Quant data, Interest Expenses came in at $47.71 million in the year ended Dec 31, 2018, -$62.64 million in the year ended Dec 31, 2017, -$26.99 million in the year ended Dec 31, 2016 and -$17.1 million in the year ended Dec 31, 2015.
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
| Date | Value |
|---|---|
| Dec 31, 2010 | -1.49 Mn |
| Sep 26, 2010 | -2.06 Mn |
| Jun 27, 2010 | -3.45 Mn |
| Mar 28, 2010 | -3.89 Mn |
| Dec 31, 2009 | -5.17 Mn |
| Sep 27, 2009 | -3.43 Mn |
| Jun 28, 2009 | -1.22 Mn |
| Mar 29, 2009 | -2.23 Mn |
Asml Holding 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=ASML&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "ASML", "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=ASML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();