Catalyst Pharmaceuticals (CPRX) Finished Goods (2023 - 2026)
Catalyst Pharmaceuticals (CPRX) posted Finished Goods of $15.28 million for Q1 2026, up 88.2% from $8.12 million a year earlier but down 5.4% from the prior quarter.
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Analysis
Catalyst Pharmaceuticals (CPRX) Finished Goods (2023 - 2026) Analysis & Trends
At the end of FY2025, Catalyst Pharmaceuticals' Finished Goods came in at $16.16 million, up 68.7% from FY2024.
- In prior years, Catalyst Pharmaceuticals' Finished Goods was $9.58 million in FY2024 (+4.6%) and $9.16 million in FY2023.
- Quarterly Finished Goods has run from a low of $8.12 million in Q1 2025 to a high of $16.16 million in Q4 2025 over five years.
- On a year-over-year basis, Finished Goods has increased in each of the last three quarters, with growth averaging 36.1% over the last five quarters.
- According to Business Quant data, Finished Goods for the three prior quarters was $16.16 million (Q4 2025), $11.29 million (Q3 2025) and $8.12 million (Q2 2025).
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 | Catalyst Pharmaceuticals | 3.85 Bn | 1.04 Bn | 134.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 15.28 Mn |
| Dec 31, 2025 | 16.16 Mn |
| Sep 30, 2025 | 11.29 Mn |
| Jun 30, 2025 | 8.12 Mn |
| Mar 31, 2025 | 8.12 Mn |
| Dec 31, 2024 | 9.58 Mn |
| Sep 30, 2024 | 9.24 Mn |
| Jun 30, 2024 | 8.40 Mn |
| Dec 31, 2023 | 9.16 Mn |
API Access
Catalyst Pharmaceuticals Finished Goods 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=finished-goods&ticker=CPRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "CPRX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=CPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();