Supernus Pharmaceuticals (SUPN) Operating Leases (2019 - 2026)
Supernus Pharmaceuticals' Operating Leases came in at $29.43 million for Q2 2026, up 20.7% from $24.38 million a year earlier but down 2.8% from the prior quarter.
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Analysis
Supernus Pharmaceuticals (SUPN) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Supernus Pharmaceuticals' Operating Leases was $30.37 million, up 10.9% from FY2024.
- Operating Leases carries a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- Going back by year, Operating Leases was $27.38 million in FY2024 (-17.5%), $33.2 million in FY2023 (-7.8%), $36 million in FY2022 (-12.8%) and $41.3 million in FY2021 (+44.5%).
- The five-year range for quarterly Operating Leases is $24.38 million (Q2 2025) to $41.3 million (Q4 2021).
- Year-over-year, Operating Leases has increased for four consecutive quarters, with an average decline of 2.1% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in Q4 2021 (growth of 44.5%), and the weakest in Q1 2025 (a decline of 20.1%).
- Business Quant data shows SUPN's Operating Leases at $30.27 million (Q1 2026), $30.37 million (Q4 2025) and $31.42 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Supernus Pharmaceuticals | 2.59 Bn | 1.25 Bn | 185.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.43 Mn |
| Mar 31, 2026 | 30.27 Mn |
| Dec 31, 2025 | 30.37 Mn |
| Sep 30, 2025 | 31.42 Mn |
| Jun 30, 2025 | 24.38 Mn |
| Mar 31, 2025 | 26.37 Mn |
| Dec 31, 2024 | 27.38 Mn |
| Sep 30, 2024 | 28.93 Mn |
| Jun 30, 2024 | 30.29 Mn |
| Mar 31, 2024 | 32.99 Mn |
| Dec 31, 2023 | 33.20 Mn |
| Sep 30, 2023 | 33.84 Mn |
| Jun 30, 2023 | 34.18 Mn |
| Mar 31, 2023 | 36.51 Mn |
| Dec 31, 2022 | 36.00 Mn |
| Sep 30, 2022 | 36.03 Mn |
| Jun 30, 2022 | 37.08 Mn |
| Mar 31, 2022 | 39.89 Mn |
| Dec 31, 2021 | 41.30 Mn |
| Sep 30, 2021 | 37.26 Mn |
API Access
Supernus Pharmaceuticals Operating Leases 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=operating-leases&ticker=SUPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();