Supernus Pharmaceuticals (SUPN) Times Interest Earned (2011 - 2026)
Supernus Pharmaceuticals' (SUPN) Times Interest Earned was -25.04 for Q2 2026.
Analysis
Supernus Pharmaceuticals (SUPN) Times Interest Earned (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Supernus Pharmaceuticals' Times Interest Earned came in at -47.51; for FY2023, it was -2.18.
- By year, Times Interest Earned came in at 6.52 in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Times Interest Earned since Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.41 |
| 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 | 10.28 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 7.27 |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 5.22 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -42.08 |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Supernus Pharmaceuticals | 2.50 Bn | 1.16 Bn | 185.39 Mn | -25.04 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -25.04 |
| Jun 30, 2023 | -19.33 |
| Mar 31, 2023 | 3.44 |
| Dec 31, 2022 | 21.54 |
| Sep 30, 2022 | -0.88 |
| Jun 30, 2022 | 6.27 |
| Mar 31, 2022 | 1.01 |
| Sep 30, 2021 | 5.50 |
| Jun 30, 2021 | 6.24 |
| Mar 31, 2021 | 2.17 |
| Sep 30, 2020 | 9.22 |
| Jun 30, 2020 | 7.83 |
| Mar 31, 2020 | 5.04 |
| Sep 30, 2019 | 7.02 |
| Jun 30, 2019 | 7.90 |
| Mar 31, 2019 | 5.40 |
| Dec 31, 2018 | 9.01 |
| Sep 30, 2018 | 8.57 |
| Jun 30, 2018 | 8.26 |
| Mar 31, 2018 | 43.79 |
API Access
Supernus Pharmaceuticals Times Interest Earned 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=times-interest-earned&ticker=SUPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();