Supernus (SUPN) Total Current Liabilities (2011 - 2026)
Supernus Pharmaceuticals (SUPN) reported Total Current Liabilities of $285.4 million for Q3 2026, down 13.7% from $330.63 million a year earlier and down 17.8% from the prior quarter.
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Analysis
Supernus (SUPN) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Supernus Pharmaceuticals posted Total Current Liabilities of $338.17 million, up 15.7% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $292.4 million in FY2024 (+0.8%), $290.2 million in FY2023 (-57.8%), $687.96 million in FY2022 (+118.1%) and $315.38 million in FY2021 (+28.7%).
- The Q3 2026 figure ranks as the lowest quarterly Total Current Liabilities since Q1 2025.
- Year over year, Total Current Liabilities gained in five of the last eight quarters, with growth averaging 6.6%.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2022 (growth of 209.3%); the low point was Q2 2023 (a decline of 65.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $347.38 million (Q2 2026), $373.93 million (Q1 2026) and $338.17 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Supernus | 1.62 Bn | 196.50 Mn | 199.75 Mn | 285.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 285.40 Mn |
| Jun 30, 2026 | 347.38 Mn |
| Mar 31, 2026 | 373.93 Mn |
| Dec 31, 2025 | 338.17 Mn |
| Sep 30, 2025 | 330.63 Mn |
| Jun 30, 2025 | 286.36 Mn |
| Mar 31, 2025 | 281.77 Mn |
| Dec 31, 2024 | 292.40 Mn |
| Sep 30, 2024 | 291.51 Mn |
| Jun 30, 2024 | 308.66 Mn |
| Mar 31, 2024 | 314.55 Mn |
| Dec 31, 2023 | 290.20 Mn |
| Sep 30, 2023 | 287.53 Mn |
| Jun 30, 2023 | 252.59 Mn |
| Mar 31, 2023 | 731.55 Mn |
| Dec 31, 2022 | 687.96 Mn |
| Sep 30, 2022 | 725.99 Mn |
| Jun 30, 2022 | 735.54 Mn |
| Mar 31, 2022 | 284.56 Mn |
| Dec 31, 2021 | 315.38 Mn |
API Access
Supernus Total 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-current-liabilities&ticker=SUPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();