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 | Eli Lilly | 1,130.22 Bn | 1,098.80 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 614.95 Bn | 533.47 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 505.05 Bn | 478.16 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 368.08 Bn | 322.46 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.32 Bn | 262.31 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.58 Bn | 235.26 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 236.05 Bn | 191.45 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 190.61 Bn | 164.80 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 169.86 Bn | 116.50 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Supernus Pharmaceuticals | 2.40 Bn | 1.05 Bn | 185.39 Mn | 376.60 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 611.86 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();