Supernus Pharmaceuticals (SUPN) Receivables (2011 - 2026)
Supernus Pharmaceuticals' Receivables was $215.96 million in Q2 2026, up 47.7% from $146.23 million a year earlier and up 17.3% from the prior quarter.
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Analysis
Supernus Pharmaceuticals (SUPN) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Supernus Pharmaceuticals came in at $189.6 million, up 29.8% from FY2024.
- Receivables shows a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In earlier years, Receivables was $146.08 million in FY2024 (+1.3%), $144.16 million in FY2023 (-12.9%), $165.5 million in FY2022 (+11.1%) and $148.93 million in FY2021 (+5.7%).
- The Q2 2026 figure marks the highest quarterly Receivables in data going back to Q4 2011.
- Compared with a year earlier, Receivables has increased for four straight quarters, with growth averaging 15.5% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q2 2026 (growth of 47.7%); the worst was Q2 2023 (a decline of 13.6%).
- Per Business Quant data, SUPN's Receivables in the three quarters before Q2 2026 was $184.08 million (Q1 2026), $189.6 million (Q4 2025) and $177.55 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.13 Bn |
| 10 | Supernus Pharmaceuticals | 2.59 Bn | 1.25 Bn | 185.39 Mn | 215.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 215.96 Mn |
| Mar 31, 2026 | 184.08 Mn |
| Dec 31, 2025 | 189.60 Mn |
| Sep 30, 2025 | 177.55 Mn |
| Jun 30, 2025 | 146.23 Mn |
| Mar 31, 2025 | 145.64 Mn |
| Dec 31, 2024 | 146.08 Mn |
| Sep 30, 2024 | 145.41 Mn |
| Jun 30, 2024 | 152.49 Mn |
| Mar 31, 2024 | 147.73 Mn |
| Dec 31, 2023 | 144.16 Mn |
| Sep 30, 2023 | 141.76 Mn |
| Jun 30, 2023 | 136.56 Mn |
| Mar 31, 2023 | 143.57 Mn |
| Dec 31, 2022 | 165.50 Mn |
| Sep 30, 2022 | 164.09 Mn |
| Jun 30, 2022 | 158.06 Mn |
| Mar 31, 2022 | 145.15 Mn |
| Dec 31, 2021 | 148.93 Mn |
| Sep 30, 2021 | 133.68 Mn |
API Access
Supernus Pharmaceuticals Receivables 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=receivables&ticker=SUPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();