Supernus (SUPN) Inventory (2012 - 2026)
Supernus Pharmaceuticals (SUPN) recorded Inventory of $87.11 million in Q3 2026, up 9.7% from $79.4 million a year earlier and up 3.8% from the prior quarter.
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Analysis
Supernus (SUPN) Inventory (2012 - 2026) Analysis & Trends
At the end of FY2025, Supernus Pharmaceuticals reported Inventory of $82.39 million, up 51.7% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $54.29 million in FY2024 (-29.9%), $77.41 million in FY2023 (-15.4%), $91.54 million in FY2022 (+6.5%) and $85.96 million in FY2021 (+77.9%).
- The Q3 2026 figure is the highest quarterly Inventory since Q2 2023.
- On a year-over-year basis, Inventory has increased for five consecutive quarters, with growth averaging 19.1% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 90.6% in Q2 2026, against a decline of 35.4% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $83.92 million (Q2 2026), $87.06 million (Q1 2026) and $82.39 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 18.19 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 15.38 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 5.31 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 6.16 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 6.22 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 6.93 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 6.39 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 1.90 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 10.02 Bn |
| 10 | Supernus | 1.62 Bn | 196.50 Mn | 199.75 Mn | 87.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 87.11 Mn |
| Jun 30, 2026 | 83.92 Mn |
| Mar 31, 2026 | 87.06 Mn |
| Dec 31, 2025 | 82.39 Mn |
| Sep 30, 2025 | 79.40 Mn |
| Jun 30, 2025 | 44.02 Mn |
| Mar 31, 2025 | 49.42 Mn |
| Dec 31, 2024 | 54.29 Mn |
| Sep 30, 2024 | 63.98 Mn |
| Jun 30, 2024 | 68.16 Mn |
| Mar 31, 2024 | 75.08 Mn |
| Dec 31, 2023 | 77.41 Mn |
| Sep 30, 2023 | 83.48 Mn |
| Jun 30, 2023 | 90.56 Mn |
| Mar 31, 2023 | 91.15 Mn |
| Dec 31, 2022 | 91.54 Mn |
| Sep 30, 2022 | 83.17 Mn |
| Jun 30, 2022 | 84.86 Mn |
| Mar 31, 2022 | 88.80 Mn |
| Dec 31, 2021 | 85.96 Mn |
API Access
Supernus Inventory 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=inventory&ticker=SUPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SUPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();