Supernus (SUPN) Total Non-Current Liabilities (2011 - 2026)
Supernus Pharmaceuticals' Total Non-Current Liabilities came in at $313.77 million for Q3 2026, down 10.5% from $350.6 million a year earlier and down 16.7% from the prior quarter.
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Analysis
Supernus (SUPN) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Supernus Pharmaceuticals' Total Non-Current Liabilities was $337.28 million, up 21.6% 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 $277.4 million in FY2024 (-5.9%), $294.91 million in FY2023 (-59.0%), $718.8 million in FY2022 (-3.0%) and $740.81 million in FY2021 (+10.5%).
- The Q3 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q2 2025.
- Year-over-year, Total Non-Current Liabilities increased in five of the last eight quarters, with growth averaging 10.9%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2026 (growth of 44.7%), and the weakest in Q2 2023 (a decline of 64.3%).
- Business Quant data shows SUPN's Total Non-Current Liabilities at $376.6 million (Q2 2026), $403.99 million (Q1 2026) and $337.28 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Supernus | 1.62 Bn | 196.50 Mn | 199.75 Mn | 313.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 313.77 Mn |
| Jun 30, 2026 | 376.60 Mn |
| Mar 31, 2026 | 403.99 Mn |
| Dec 31, 2025 | 337.28 Mn |
| Sep 30, 2025 | 350.60 Mn |
| Jun 30, 2025 | 310.74 Mn |
| Mar 31, 2025 | 279.12 Mn |
| Dec 31, 2024 | 277.40 Mn |
| Sep 30, 2024 | 280.81 Mn |
| Jun 30, 2024 | 302.39 Mn |
| Mar 31, 2024 | 314.69 Mn |
| Dec 31, 2023 | 294.91 Mn |
| Sep 30, 2023 | 302.95 Mn |
| Jun 30, 2023 | 276.96 Mn |
| Mar 31, 2023 | 764.40 Mn |
| Dec 31, 2022 | 718.80 Mn |
| Sep 30, 2022 | 762.81 Mn |
| Jun 30, 2022 | 775.04 Mn |
| Mar 31, 2022 | 731.53 Mn |
| Dec 31, 2021 | 740.81 Mn |
API Access
Supernus 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_KEYimport 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();