Xenon Pharmaceuticals (XENE) Interest Expenses (2013 - 2020)
Xenon Pharmaceuticals (XENE) reported Interest Expenses of $484,000 for FY2020, down 66.2% from $1.43 million in FY2019.
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Analysis
Xenon Pharmaceuticals (XENE) Interest Expenses (2013 - 2020) Analysis & Trends
Dating back to FY2012, Xenon Pharmaceuticals' Interest Expenses record includes 6 years.
- Interest Expenses has a three-year compound annual growth rate of 172.2% (FY2017 to FY2020).
- The FY2020 figure ranks as the lowest annual Interest Expenses since FY2017.
- According to Business Quant data, Interest Expenses came in at $1.43 million in FY2019 (+2.9%), $1.39 million in FY2018 and $24,000 in FY2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Xenon Pharmaceuticals | 3.60 Bn | 3.60 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 154,000.00 |
| Mar 31, 2020 | 330,000.00 |
| Dec 31, 2019 | 348,000.00 |
| Sep 30, 2019 | 363,000.00 |
| Jun 30, 2019 | 365,000.00 |
| Mar 31, 2019 | 358,000.00 |
| Dec 31, 2018 | 357,000.00 |
| Sep 30, 2018 | 678,000.00 |
| Jun 30, 2018 | 200,000.00 |
| Mar 31, 2018 | 159,000.00 |
| Dec 31, 2013 | 8,000.00 |
| Sep 30, 2013 | 15,000.00 |
API Access
Xenon Pharmaceuticals 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=XENE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "XENE", "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=XENE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();