Supernus (SUPN) Total Liabilities (2011 - 2026)
Supernus Pharmaceuticals (SUPN) recorded Total Liabilities of $335.21 million in Q3 2026, down 9.4% from $370.09 million a year earlier and down 15.5% from the prior quarter.
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Analysis
Supernus (SUPN) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Supernus Pharmaceuticals reported Total Liabilities of $390.93 million, up 17.6% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -12.4% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $332.34 million in FY2024 (-6.7%), $356.16 million in FY2023 (-56.4%), $816.3 million in FY2022 (-6.5%) and $873.3 million in FY2021 (+15.0%).
- The Q3 2026 figure is the lowest quarterly Total Liabilities since Q2 2025.
- On a year-over-year basis, Total Liabilities rose in four of the last eight quarters, with growth averaging 5.5%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 33.9% in Q1 2026, against a decline of 57.4% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $396.88 million (Q2 2026), $423.92 million (Q1 2026) and $390.93 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Supernus | 1.62 Bn | 196.50 Mn | 199.75 Mn | 335.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 335.21 Mn |
| Jun 30, 2026 | 396.88 Mn |
| Mar 31, 2026 | 423.92 Mn |
| Dec 31, 2025 | 390.93 Mn |
| Sep 30, 2025 | 370.09 Mn |
| Jun 30, 2025 | 318.51 Mn |
| Mar 31, 2025 | 316.59 Mn |
| Dec 31, 2024 | 332.34 Mn |
| Sep 30, 2024 | 335.55 Mn |
| Jun 30, 2024 | 358.38 Mn |
| Mar 31, 2024 | 374.92 Mn |
| Dec 31, 2023 | 356.16 Mn |
| Sep 30, 2023 | 372.97 Mn |
| Jun 30, 2023 | 373.19 Mn |
| Mar 31, 2023 | 879.66 Mn |
| Dec 31, 2022 | 816.30 Mn |
| Sep 30, 2022 | 840.33 Mn |
| Jun 30, 2022 | 853.54 Mn |
| Mar 31, 2022 | 811.07 Mn |
| Dec 31, 2021 | 873.30 Mn |
API Access
Supernus Total 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-liabilities&ticker=SUPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();