Supernus (SUPN) Tax Provisions (2022 - 2026)
Supernus Pharmaceuticals (SUPN) reported Tax Provisions of $1.8 million for Q3 2026, compared with -$12.84 million a year earlier and up 149.0% from the prior quarter.
Supernus (SUPN) Tax Provisions (2022 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Supernus Pharmaceuticals' Tax Provisions came in at -$8.09 million; for FY2025, it came in at -$10.48 million.
- By year, Tax Provisions came in at $24.01 million in FY2024, $1.45 million in FY2023, $32,000 in FY2022 (-99.8%) and $19.75 million in FY2021 (-52.6%).
- Five-year quarterly Tax Provisions spans a low of -$16.3 million in Q2 2023 and a high of $25.9 million in Q3 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 1.96 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | -176.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 609.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 492.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -842.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 822.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 634.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 134.00 Mn |
| 10 | Supernus | 3.39 Bn | 2.50 Bn | 305.00 Mn | 45.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 45.00 Mn |
| Jun 30, 2026 | 38.00 Mn |
| Mar 31, 2026 | 26.00 Mn |
| Dec 31, 2025 | -21.00 Mn |
| Sep 30, 2025 | -5.00 Mn |
| Jun 30, 2025 | 44.00 Mn |
| Mar 31, 2025 | 11.00 Mn |
| Dec 31, 2024 | 17.00 Mn |
| Sep 30, 2024 | 8.00 Mn |
| Jun 30, 2024 | -23.00 Mn |
| Mar 31, 2024 | 11.00 Mn |
| Dec 31, 2023 | -7.00 Mn |
| Sep 30, 2023 | 46.00 Mn |
| Jun 30, 2023 | -23.00 Mn |
| Mar 31, 2023 | -14.00 Mn |
| Dec 31, 2022 | 73.00 Mn |
| Sep 30, 2022 | -13.00 Mn |
| Jun 30, 2022 | -10.00 Mn |
Supernus Tax Provisions 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=tax-provisions&ticker=SUPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();