Supernus (SUPN) Shares Outstanding (Diluted) (2021 - 2026)
Supernus Pharmaceuticals (SUPN) reported Weighted Average Shares Outstanding (Diluted) of 59.47 million for Q3 2026, up 5.2% from 56.55 million a year earlier and up 2.4% from the prior quarter.
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Analysis
Supernus (SUPN) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Supernus Pharmaceuticals posted Weighted Average Shares Outstanding (Diluted) of 56.45 million, up 0.9% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 55.96 million in FY2024 (+0.8%), 55.51 million in FY2023 (-10.0%), 61.68 million in FY2022 (+13.5%) and 54.36 million in FY2021 (+1.2%).
- The Q3 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding (Diluted) since Q1 2023.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last ten quarters, with growth averaging 1.9% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q4 2022 (growth of 13.5%); the low point was Q2 2023 (a decline of 11.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 58.07 million (Q2 2026), 57.65 million (Q1 2026) and 56.45 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.75 Bn |
| 10 | Supernus | 3.39 Bn | 2.50 Bn | 305.00 Mn | 122.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 122.00 Mn |
| Jun 30, 2026 | 124.00 Mn |
| Mar 31, 2026 | 129.00 Mn |
| Dec 31, 2025 | 128.00 Mn |
| Sep 30, 2025 | 129.00 Mn |
| Jun 30, 2025 | 126.00 Mn |
| Mar 31, 2025 | 125.00 Mn |
| Dec 31, 2024 | 133.00 Mn |
| Sep 30, 2024 | 133.00 Mn |
| Jun 30, 2024 | 135.00 Mn |
| Mar 31, 2024 | 137.00 Mn |
| Dec 31, 2023 | 137.00 Mn |
| Sep 30, 2023 | 139.00 Mn |
| Jun 30, 2023 | 139.00 Mn |
| Mar 31, 2023 | 139.00 Mn |
| Dec 31, 2022 | 139.00 Mn |
| Sep 30, 2022 | 151.94 Mn |
| Jun 30, 2022 | 151.94 Mn |
| Dec 31, 2021 | 151.94 Mn |
API Access
Supernus Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=SUPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();