Supernus Pharmaceuticals (SUPN) Other Accumulated Expenses (2011 - 2026)
Supernus Pharmaceuticals' Other Accumulated Expenses came in at $198.84 million for Q2 2026, up 9.9% from $180.92 million a year earlier and up 4.8% from the prior quarter.
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Analysis
Supernus Pharmaceuticals (SUPN) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Supernus Pharmaceuticals' Other Accumulated Expenses was $161.1 million, down 4.5% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $168.71 million in FY2024 (+9.4%), $154.27 million in FY2023 (+1.7%), $151.67 million in FY2022 (+14.3%) and $132.72 million in FY2021 (+5.2%).
- The Q2 2026 figure represents the highest quarterly Other Accumulated Expenses in data going back to Q4 2011.
- Year-over-year, Other Accumulated Expenses increased in seven of the last eight quarters, with growth averaging 5.6%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q3 2022 (growth of 20.0%), and the weakest in Q2 2022 (a decline of 16.0%).
- Business Quant data shows SUPN's Other Accumulated Expenses at $189.72 million (Q1 2026), $161.1 million (Q4 2025) and $184.46 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Supernus Pharmaceuticals | 2.47 Bn | 1.12 Bn | 185.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 198.84 Mn |
| Mar 31, 2026 | 189.72 Mn |
| Dec 31, 2025 | 161.10 Mn |
| Sep 30, 2025 | 184.46 Mn |
| Jun 30, 2025 | 180.92 Mn |
| Mar 31, 2025 | 170.13 Mn |
| Dec 31, 2024 | 168.71 Mn |
| Sep 30, 2024 | 169.12 Mn |
| Jun 30, 2024 | 175.12 Mn |
| Mar 31, 2024 | 167.23 Mn |
| Dec 31, 2023 | 154.27 Mn |
| Sep 30, 2023 | 162.47 Mn |
| Jun 30, 2023 | 148.83 Mn |
| Mar 31, 2023 | 147.85 Mn |
| Dec 31, 2022 | 151.67 Mn |
| Sep 30, 2022 | 158.47 Mn |
| Jun 30, 2022 | 145.76 Mn |
| Mar 31, 2022 | 140.18 Mn |
| Dec 31, 2021 | 132.72 Mn |
| Sep 30, 2021 | 132.05 Mn |
API Access
Supernus Pharmaceuticals Other Accumulated Expenses 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=other-accumulated-expenses&ticker=SUPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();