Supernus Pharmaceuticals (SUPN) Other Non-Current Liabilities (2011 - 2026)
Supernus Pharmaceuticals (SUPN) reported Other Non-Current Liabilities of $19.87 million for Q2 2026, up 156.0% from $7.76 million a year earlier and up 1.8% from the prior quarter.
Supernus Pharmaceuticals (SUPN) Other Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Supernus Pharmaceuticals posted Other Non-Current Liabilities of $31.26 million, down 34.0% from FY2024.
- Other Non-Current Liabilities has declined for four consecutive years, with a five-year compound annual growth rate of -7.4% (FY2020 to FY2025).
- By year, Other Non-Current Liabilities came in at $47.34 million in FY2024 (-11.4%), $53.45 million in FY2023 (-2.8%), $54.97 million in FY2022 (-31.7%) and $80.48 million in FY2021 (+75.7%).
- Five-year quarterly Other Non-Current Liabilities spans a low of $7.76 million in Q2 2025 and a high of $80.48 million in Q4 2021.
- Year over year, Other Non-Current Liabilities gained in 1 of the last eight quarters, with an average decline of 17.4%.
- The high point for year-over-year Other Non-Current Liabilities in five years was Q2 2026 (growth of 156.0%); the low point was Q2 2025 (a decline of 83.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $19.52 million (Q1 2026), $31.26 million (Q4 2025) and $11.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 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 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 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 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.87 Mn |
| Mar 31, 2026 | 19.52 Mn |
| Dec 31, 2025 | 31.26 Mn |
| Sep 30, 2025 | 11.45 Mn |
| Jun 30, 2025 | 7.76 Mn |
| Mar 31, 2025 | 30.00 Mn |
| Dec 31, 2024 | 47.34 Mn |
| Sep 30, 2024 | 46.98 Mn |
| Jun 30, 2024 | 48.00 Mn |
| Mar 31, 2024 | 52.36 Mn |
| Dec 31, 2023 | 53.45 Mn |
| Sep 30, 2023 | 53.65 Mn |
| Jun 30, 2023 | 54.11 Mn |
| Mar 31, 2023 | 53.32 Mn |
| Dec 31, 2022 | 54.97 Mn |
| Sep 30, 2022 | 57.37 Mn |
| Jun 30, 2022 | 56.89 Mn |
| Mar 31, 2022 | 56.14 Mn |
| Dec 31, 2021 | 80.48 Mn |
| Sep 30, 2021 | 69.05 Mn |
Supernus Pharmaceuticals Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=SUPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();