Supernus Pharmaceuticals (SUPN) Property, Plant & Equipment (Net) (2011 - 2026)
Supernus Pharmaceuticals (SUPN) reported Property, Plant & Equipment (Net) of $10.2 million for Q2 2026, down 7.9% from $11.07 million a year earlier but up 1.5% from the prior quarter.
Supernus Pharmaceuticals (SUPN) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2025, Supernus Pharmaceuticals posted Property, Plant & Equipment (Net) of $10.53 million, down 8.8% from FY2024.
- Property, Plant & Equipment (Net) has declined for five consecutive years, with a five-year compound annual growth rate of -22.6% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $11.55 million in FY2024 (-14.7%), $13.53 million in FY2023 (-10.8%), $15.17 million in FY2022 (-10.5%) and $16.96 million in FY2021 (-55.2%).
- Five-year quarterly Property, Plant & Equipment (Net) spans a low of $10.04 million in Q1 2026 and a high of $17.22 million in Q1 2022.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last 21 quarters, with an average decline of 11.1% over the last eight quarters.
- Across the past five years, year-over-year decline in Property, Plant & Equipment (Net) ran from 3.6% in Q3 2022 to 55.2% in Q4 2021.
- Per Business Quant data, the three quarters before Q2 2026 came in at $10.04 million (Q1 2026), $10.53 million (Q4 2025) and $10.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 29.29 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 23.58 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 5.80 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 25.74 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 10.69 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 13.62 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 8.55 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 5.83 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 19.03 Bn |
| 10 | Supernus Pharmaceuticals | 2.47 Bn | 1.12 Bn | 185.39 Mn | 10.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.20 Mn |
| Mar 31, 2026 | 10.04 Mn |
| Dec 31, 2025 | 10.53 Mn |
| Sep 30, 2025 | 10.63 Mn |
| Jun 30, 2025 | 11.07 Mn |
| Mar 31, 2025 | 11.34 Mn |
| Dec 31, 2024 | 11.55 Mn |
| Sep 30, 2024 | 11.88 Mn |
| Jun 30, 2024 | 12.27 Mn |
| Mar 31, 2024 | 12.97 Mn |
| Dec 31, 2023 | 13.53 Mn |
| Sep 30, 2023 | 13.69 Mn |
| Jun 30, 2023 | 14.19 Mn |
| Mar 31, 2023 | 14.61 Mn |
| Dec 31, 2022 | 15.17 Mn |
| Sep 30, 2022 | 15.87 Mn |
| Jun 30, 2022 | 16.32 Mn |
| Mar 31, 2022 | 17.22 Mn |
| Dec 31, 2021 | 16.96 Mn |
| Sep 30, 2021 | 16.47 Mn |
Supernus Pharmaceuticals Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SUPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();