Supernus Pharmaceuticals (SUPN) Long-Term Investments (2012 - 2024)
Supernus Pharmaceuticals (SUPN) recorded Long-Term Investments of $11.66 million in Q1 2024, down 78.5% from $54.16 million a year earlier and down 29.8% from the prior quarter.
Supernus Pharmaceuticals (SUPN) Long-Term Investments (2012 - 2024) Analysis & Trends
At the end of FY2023, Supernus Pharmaceuticals reported Long-Term Investments of $16.62 million, down 82.3% from FY2022.
- Annual Long-Term Investments has declined for four straight years, with a five-year compound annual growth rate of -47.6% (FY2018 to FY2023).
- Across earlier years, Long-Term Investments came in at $93.9 million in FY2022 (-21.2%), $119.17 million in FY2021 (-66.0%), $350.36 million in FY2020 (-40.8%) and $591.77 million in FY2019 (+41.3%).
- On a year-over-year basis, Long-Term Investments has declined for ten consecutive quarters, with an average decline of 66.1% over the last eight quarters.
- Peak year-over-year performance for Long-Term Investments in the last five years was growth of 41.3% in Q4 2019, against a decline of 82.3% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.62 million (Q4 2023), $25.13 million (Q3 2023) and $37.48 million (Q2 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | - |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 266.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 1.22 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 69.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 2.62 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | - |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 1.56 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.79 Bn |
| 10 | Supernus Pharmaceuticals | 2.50 Bn | 1.16 Bn | 185.39 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 11.66 Mn |
| Dec 31, 2023 | 16.62 Mn |
| Sep 30, 2023 | 25.13 Mn |
| Jun 30, 2023 | 37.48 Mn |
| Mar 31, 2023 | 54.16 Mn |
| Dec 31, 2022 | 93.90 Mn |
| Sep 30, 2022 | 131.94 Mn |
| Jun 30, 2022 | 147.37 Mn |
| Mar 31, 2022 | 125.34 Mn |
| Dec 31, 2021 | 119.17 Mn |
| Sep 30, 2021 | 405.48 Mn |
| Jun 30, 2021 | 445.47 Mn |
| Mar 31, 2021 | 416.57 Mn |
| Dec 31, 2020 | 350.36 Mn |
| Sep 30, 2020 | 388.19 Mn |
| Jun 30, 2020 | 358.67 Mn |
| Mar 31, 2020 | 534.71 Mn |
| Dec 31, 2019 | 591.77 Mn |
| Sep 30, 2019 | 596.44 Mn |
| Jun 30, 2019 | 593.75 Mn |
Supernus Pharmaceuticals Long-Term Investments 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=long-term-investments&ticker=SUPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();