Supernus Pharmaceuticals (SUPN) Accounts Payables (2011 - 2026)
Supernus Pharmaceuticals' Accounts Payables came in at $108.46 million for Q2 2026, up 39.5% from $77.74 million a year earlier and up 7.1% from the prior quarter.
Supernus Pharmaceuticals (SUPN) Accounts Payables (2011 - 2026) Analysis & Trends
At the end of FY2025, Supernus Pharmaceuticals' Accounts Payables was $107.8 million, up 41.2% from FY2024.
- Accounts Payables carries a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- Going back by year, Accounts Payables was $76.35 million in FY2024 (-4.0%), $79.57 million in FY2023 (-17.4%), $96.34 million in FY2022 (-18.1%) and $117.68 million in FY2021 (+49.1%).
- The five-year range for quarterly Accounts Payables is $72.29 million (Q3 2021) to $133 million (Q2 2022).
- Year-over-year, Accounts Payables has increased for four consecutive quarters, with growth averaging 16.4% over the last eight quarters.
- The fastest year-over-year change in Accounts Payables over five years came in Q3 2021 (growth of 545.8%), and the weakest in Q2 2023 (a decline of 37.6%).
- Business Quant data shows SUPN's Accounts Payables at $101.24 million (Q1 2026), $107.8 million (Q4 2025) and $108.61 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 6.11 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 9.22 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 33.30 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 3.83 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 4.26 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 22.89 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 2.87 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 674.00 Mn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 4.58 Bn |
| 10 | Supernus Pharmaceuticals | 2.39 Bn | 1.05 Bn | 185.39 Mn | 108.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 108.46 Mn |
| Mar 31, 2026 | 101.24 Mn |
| Dec 31, 2025 | 107.80 Mn |
| Sep 30, 2025 | 108.61 Mn |
| Jun 30, 2025 | 77.74 Mn |
| Mar 31, 2025 | 76.89 Mn |
| Dec 31, 2024 | 76.35 Mn |
| Sep 30, 2024 | 75.80 Mn |
| Jun 30, 2024 | 82.61 Mn |
| Mar 31, 2024 | 86.40 Mn |
| Dec 31, 2023 | 79.57 Mn |
| Sep 30, 2023 | 78.47 Mn |
| Jun 30, 2023 | 83.04 Mn |
| Mar 31, 2023 | 95.35 Mn |
| Dec 31, 2022 | 96.34 Mn |
| Sep 30, 2022 | 110.30 Mn |
| Jun 30, 2022 | 133.00 Mn |
| Mar 31, 2022 | 89.43 Mn |
| Dec 31, 2021 | 117.68 Mn |
| Sep 30, 2021 | 72.29 Mn |
Supernus Pharmaceuticals Accounts Payables 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=accounts-payables&ticker=SUPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();