Supernus Pharmaceuticals (SUPN) Assets (2011 - 2026)
Supernus Pharmaceuticals (SUPN) posted Assets of $1.43 billion for Q2 2026, up 3.3% from $1.38 billion a year earlier but down 4.8% from the prior quarter.
Supernus Pharmaceuticals (SUPN) Assets (2011 - 2026) Analysis & Trends
At the end of FY2025, Supernus Pharmaceuticals' Assets came in at $1.45 billion, up 6.2% from FY2024.
- Annual Assets shows a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- In prior years, Supernus Pharmaceuticals' Assets was $1.37 billion in FY2024 (+7.1%), $1.28 billion in FY2023 (-25.0%), $1.7 billion in FY2022 (+0.8%) and $1.69 billion in FY2021 (+12.3%).
- Quarterly Assets has run from a low of $1.28 billion in Q4 2023 to a high of $1.79 billion in Q1 2023 over five years.
- On a year-over-year basis, Assets has increased in each of the last nine quarters, with growth averaging 5.8% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was Q4 2021, with growth of 12.3%; the weakest was Q1 2024, with a decline of 27.2%.
- According to Business Quant data, Assets for the three prior quarters was $1.5 billion (Q1 2026), $1.45 billion (Q4 2025) and $1.42 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 27.42 Bn |
| 10 | Supernus Pharmaceuticals | 2.59 Bn | 1.25 Bn | 185.39 Mn | 1.43 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.43 Bn |
| Mar 31, 2026 | 1.50 Bn |
| Dec 31, 2025 | 1.45 Bn |
| Sep 30, 2025 | 1.42 Bn |
| Jun 30, 2025 | 1.38 Bn |
| Mar 31, 2025 | 1.35 Bn |
| Dec 31, 2024 | 1.37 Bn |
| Sep 30, 2024 | 1.34 Bn |
| Jun 30, 2024 | 1.32 Bn |
| Mar 31, 2024 | 1.30 Bn |
| Dec 31, 2023 | 1.28 Bn |
| Sep 30, 2023 | 1.29 Bn |
| Jun 30, 2023 | 1.29 Bn |
| Mar 31, 2023 | 1.79 Bn |
| Dec 31, 2022 | 1.70 Bn |
| Sep 30, 2022 | 1.69 Bn |
| Jun 30, 2022 | 1.69 Bn |
| Mar 31, 2022 | 1.64 Bn |
| Dec 31, 2021 | 1.69 Bn |
| Sep 30, 2021 | 1.56 Bn |
Supernus Pharmaceuticals Assets 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=assets&ticker=SUPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();