Supernus Pharmaceuticals (SUPN) Cash & Equivalents (2011 - 2026)
Supernus Pharmaceuticals (SUPN) posted Cash & Equivalents of $179.95 million for Q2 2026, up 24.4% from $144.71 million a year earlier but down 2.7% from the prior quarter.
Supernus Pharmaceuticals (SUPN) Cash & Equivalents (2011 - 2026) Analysis & Trends
At the end of FY2025, Supernus Pharmaceuticals' Cash & Equivalents came in at $128.45 million, up 85.3% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -15.0% (FY2020 to FY2025).
- In prior years, Supernus Pharmaceuticals' Cash & Equivalents was $69.33 million in FY2024 (-7.6%), $75.05 million in FY2023 (-19.4%), $93.12 million in FY2022 (-54.2%) and $203.43 million in FY2021 (-29.5%).
- Quarterly Cash & Equivalents has run from a low of $24.71 million in Q2 2023 to a high of $215.28 million in Q3 2021 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last six quarters, with growth averaging 91.7% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2025, with growth of 377.9%; the weakest was Q2 2023, with a decline of 85.8%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $184.87 million (Q1 2026), $128.45 million (Q4 2025) and $151.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Supernus Pharmaceuticals | 2.47 Bn | 1.12 Bn | 185.39 Mn | 179.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 179.95 Mn |
| Mar 31, 2026 | 184.87 Mn |
| Dec 31, 2025 | 128.45 Mn |
| Sep 30, 2025 | 151.37 Mn |
| Jun 30, 2025 | 144.71 Mn |
| Mar 31, 2025 | 115.85 Mn |
| Dec 31, 2024 | 69.33 Mn |
| Sep 30, 2024 | 31.67 Mn |
| Jun 30, 2024 | 52.09 Mn |
| Mar 31, 2024 | 63.40 Mn |
| Dec 31, 2023 | 75.05 Mn |
| Sep 30, 2023 | 94.99 Mn |
| Jun 30, 2023 | 24.71 Mn |
| Mar 31, 2023 | 58.44 Mn |
| Dec 31, 2022 | 93.12 Mn |
| Sep 30, 2022 | 111.49 Mn |
| Jun 30, 2022 | 173.43 Mn |
| Mar 31, 2022 | 115.72 Mn |
| Dec 31, 2021 | 203.43 Mn |
| Sep 30, 2021 | 215.28 Mn |
Supernus Pharmaceuticals Cash & Equivalents 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=cash-and-equivalents&ticker=SUPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();