Supernus Pharmaceuticals (SUPN) Total Non-Current Liabilities (2011 - 2026)
Supernus Pharmaceuticals' Total Non-Current Liabilities came in at $377.01 million for Q2 2026, up 21.3% from $310.74 million a year earlier but down 6.8% from the prior quarter.
Supernus Pharmaceuticals (SUPN) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Supernus Pharmaceuticals' Total Non-Current Liabilities was $359.68 million, up 26.2% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -12.8% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $285 million in FY2024 (-5.8%), $302.71 million in FY2023 (-60.2%), $761.34 million in FY2022 (-4.0%) and $792.82 million in FY2021 (+11.1%).
- The five-year range for quarterly Total Non-Current Liabilities is $285 million (Q4 2024) to $826.34 million (Q1 2023).
- Year-over-year, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 10.8% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2026 (growth of 41.1%), and the weakest in Q1 2024 (a decline of 61.0%).
- Business Quant data shows SUPN's Total Non-Current Liabilities at $404.4 million (Q1 2026), $359.68 million (Q4 2025) and $358.64 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Supernus Pharmaceuticals | 2.56 Bn | 1.21 Bn | 185.39 Mn | 377.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 377.01 Mn |
| Mar 31, 2026 | 404.40 Mn |
| Dec 31, 2025 | 359.68 Mn |
| Sep 30, 2025 | 358.64 Mn |
| Jun 30, 2025 | 310.74 Mn |
| Mar 31, 2025 | 286.59 Mn |
| Dec 31, 2024 | 285.00 Mn |
| Sep 30, 2024 | 288.57 Mn |
| Jun 30, 2024 | 310.38 Mn |
| Mar 31, 2024 | 322.57 Mn |
| Dec 31, 2023 | 302.71 Mn |
| Sep 30, 2023 | 319.32 Mn |
| Jun 30, 2023 | 319.08 Mn |
| Mar 31, 2023 | 826.34 Mn |
| Dec 31, 2022 | 761.34 Mn |
| Sep 30, 2022 | 782.96 Mn |
| Jun 30, 2022 | 796.65 Mn |
| Mar 31, 2022 | 754.93 Mn |
| Dec 31, 2021 | 792.82 Mn |
| Sep 30, 2021 | 675.52 Mn |
Supernus Pharmaceuticals Total 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=total-non-current-liabilities&ticker=SUPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();