Supernus Pharmaceuticals (SUPN) Total Debt (2011 - 2023)
Supernus Pharmaceuticals' Total Debt was $480.86 million in Q1 2023, up 19.6% from the prior quarter.
Analysis
Supernus Pharmaceuticals (SUPN) Total Debt (2011 - 2023) Analysis & Trends
At the end of FY2022, Total Debt at Supernus Pharmaceuticals came in at $401.97 million, up 6.0% from FY2021.
- In earlier years, Total Debt was $379.25 million in FY2021.
- The Q1 2023 figure marks the highest quarterly Total Debt in data going back to Q4 2011.
- Per Business Quant data, SUPN's Total Debt in the three quarters before Q1 2023 was $401.97 million (Q4 2022), $401.44 million (Q3 2022) and $400.91 million (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 49.04 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 70.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 53.91 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 37.49 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -111.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 57.30 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 26.25 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 63.19 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Supernus Pharmaceuticals | 2.59 Bn | 1.25 Bn | 185.39 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 480.86 Mn |
| Dec 31, 2022 | 401.97 Mn |
| Sep 30, 2022 | 401.44 Mn |
| Jun 30, 2022 | 400.91 Mn |
| Dec 31, 2021 | 379.25 Mn |
| Mar 31, 2013 | 20.11 Mn |
| Dec 31, 2012 | 22.90 Mn |
| Sep 30, 2012 | 25.61 Mn |
| Jun 30, 2012 | 27.81 Mn |
| Mar 31, 2012 | 29.10 Mn |
| Dec 31, 2011 | 29.49 Mn |
API Access
Supernus Pharmaceuticals Total Debt 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=total-debt&ticker=SUPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();