Supernus Pharmaceuticals (SUPN) Interest Expenses (2011 - 2026)
Supernus Pharmaceuticals' Interest Expenses came in at $2.32 million for Q2 2026.
Powered by 
Analysis
Supernus Pharmaceuticals (SUPN) Interest Expenses (2011 - 2026) Analysis & Trends
For FY2023, Supernus Pharmaceuticals' Interest Expenses was $2.42 million, down 65.8% from FY2022.
- Interest Expenses carries a five-year compound annual growth rate of -29.5% (FY2018 to FY2023).
- Going back by year, Interest Expenses was $7.07 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Interest Expenses since Q3 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | - |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Supernus Pharmaceuticals | 2.39 Bn | 1.04 Bn | 185.39 Mn | 2.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.32 Mn |
| Jun 30, 2023 | 910,000.00 |
| Mar 31, 2023 | 1.51 Mn |
| Dec 31, 2022 | 1.59 Mn |
| Sep 30, 2022 | 1.72 Mn |
| Jun 30, 2022 | 1.81 Mn |
| Mar 31, 2022 | 1.94 Mn |
| Sep 30, 2021 | 5.93 Mn |
| Jun 30, 2021 | 5.47 Mn |
| Mar 31, 2021 | 6.10 Mn |
| Sep 30, 2020 | 6.09 Mn |
| Jun 30, 2020 | 5.82 Mn |
| Mar 31, 2020 | 5.76 Mn |
| Sep 30, 2019 | 5.66 Mn |
| Jun 30, 2019 | 5.39 Mn |
| Mar 31, 2019 | 4.71 Mn |
| Dec 31, 2018 | 4.43 Mn |
| Sep 30, 2018 | 4.37 Mn |
| Jun 30, 2018 | 4.32 Mn |
| Mar 31, 2018 | 717,000.00 |
API Access
Supernus 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=SUPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "SUPN", "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=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();