Supernus (SUPN) Price to Book (2021 - 2023)
Supernus Pharmaceuticals' (SUPN) Price to Book was 2.36 for Q3 2026, down 9.3% from 2.60 a year earlier and down 10.0% from the prior quarter.
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Analysis
Supernus (SUPN) Price to Book (2021 - 2023) Analysis & Trends
For FY2025, Price to Book at Supernus Pharmaceuticals was 2.69, up 38.2% from FY2024.
- By year, Price to Book came in at 1.95 in FY2024 (+13.2%), 1.72 in FY2023 (-21.3%), 2.18 in FY2022 (+14.7%) and 1.90 in FY2021 (+6.6%).
- The Q3 2026 figure ranks as the lowest quarterly Price to Book since Q2 2025.
- Year over year, Price to Book gained in six of the last eight quarters, with growth averaging 25.7%.
- The high point for year-over-year Price to Book in five years was Q2 2026 (growth of 57.8%); the low point was Q3 2023 (a decline of 22.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 2.62 (Q2 2026), 2.79 (Q1 2026) and 2.69 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Supernus | 3.39 Bn | 2.50 Bn | 305.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 35.07 |
| Sep 30, 2022 | 3.30 |
| Jun 30, 2022 | 2.84 |
| Dec 31, 2021 | 35.10 |
API Access
Supernus Price to Book 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=price-to-book&ticker=SUPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();