Supernus Pharmaceuticals (SUPN) Selling, General & Administrative (2011 - 2026)
Supernus Pharmaceuticals (SUPN) reported Selling, General & Administrative of $133.64 million for Q2 2026, up 42.8% from $93.55 million a year earlier.
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Analysis
Supernus Pharmaceuticals (SUPN) Selling, General & Administrative (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Supernus Pharmaceuticals' Selling, General & Administrative came in at $529.26 million, up 59.1% year-over-year; for FY2025, it was $485.56 million, up 51.0% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 19.3% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $321.58 million in FY2024 (-4.4%), $336.36 million in FY2023 (-10.8%), $377.22 million in FY2022 (+23.8%) and $304.76 million in FY2021 (+51.9%).
- Five-year quarterly Selling, General & Administrative spans a low of $69.75 million in Q3 2024 and a high of $179.68 million in Q3 2025.
- Year over year, Selling, General & Administrative gained in five of the last seven quarters, with growth averaging 35.6%.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2025 (growth of 157.6%); the low point was Q4 2022 (a decline of 27.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Supernus Pharmaceuticals | 2.47 Bn | 1.12 Bn | 185.39 Mn | 133.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133.64 Mn |
| Dec 31, 2025 | 122.39 Mn |
| Sep 30, 2025 | 179.68 Mn |
| Jun 30, 2025 | 93.55 Mn |
| Mar 31, 2025 | 89.94 Mn |
| Dec 31, 2024 | 79.41 Mn |
| Sep 30, 2024 | 69.75 Mn |
| Jun 30, 2024 | 85.90 Mn |
| Mar 31, 2024 | 86.52 Mn |
| Dec 31, 2023 | 81.28 Mn |
| Sep 30, 2023 | 82.70 Mn |
| Jun 30, 2023 | 86.78 Mn |
| Mar 31, 2023 | 85.60 Mn |
| Dec 31, 2022 | 73.97 Mn |
| Sep 30, 2022 | 112.31 Mn |
| Jun 30, 2022 | 100.48 Mn |
| Mar 31, 2022 | 90.46 Mn |
| Dec 31, 2021 | 101.74 Mn |
| Sep 30, 2021 | 72.03 Mn |
| Jun 30, 2021 | 69.54 Mn |
API Access
Supernus Pharmaceuticals Selling, General & Administrative 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=selling-general-and-administrative&ticker=SUPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();