Supernus (SUPN) Price to Earnings (2023 - 2026)
Supernus Pharmaceuticals' (SUPN) Price to Earnings stood at 27.43 in Q2 2025, down 90.2% from 281.06 a year earlier and down 7.4% from the prior quarter.
Supernus (SUPN) Price to Earnings (2023 - 2026) Analysis & Trends
For FY2024, Supernus Pharmaceuticals' Price to Earnings came in at 27.29, down 97.7% from FY2023.
- Across earlier years, Price to Earnings came in at 1203.41 in FY2023, 31.88 in FY2022 (+9.7%), 29.07 in FY2021 (+177.4%) and 10.48 in FY2020 (-4.9%).
- Quarterly Price to Earnings has ranged from 8.49 in Q3 2020 to 1203.41 in Q4 2023 over the past five years.
- On a year-over-year basis, Price to Earnings rose in two of the last five quarters, with growth averaging 86.1%.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 647.0% in Q2 2024, against a decline of 97.7% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 29.62 (Q1 2025), 27.29 (Q4 2024) and 28.83 (Q3 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Supernus | 3.39 Bn | 2.50 Bn | 305.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.29 |
| Jun 30, 2026 | 15.46 |
| Mar 31, 2026 | 25.11 |
| Dec 31, 2025 | 29.74 |
| Sep 30, 2025 | 46.62 |
| Jun 30, 2025 | 36.41 |
| Dec 31, 2024 | 643.94 |
| Sep 30, 2024 | 19.69 |
| Jun 30, 2024 | 10.35 |
| Mar 31, 2024 | 9.56 |
| Dec 31, 2023 | 8.44 |
| Sep 30, 2023 | 9.09 |
| Jun 30, 2023 | 14.00 |
| Mar 31, 2023 | 16.37 |
Supernus Price to Earnings 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=price-to-earnings&ticker=SUPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();