Catalyst Pharmaceuticals (CPRX) Operating Expenses (2010 - 2026)
Catalyst Pharmaceuticals (CPRX) recorded Operating Expenses of $76.16 million in Q1 2026, down 2.4% from $78.05 million a year earlier and down 16.1% from the prior quarter.
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Analysis
Catalyst Pharmaceuticals (CPRX) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Catalyst Pharmaceuticals' Operating Expenses came in at $329.32 million as of Mar 31, 2026, up 8.6% year-over-year; for FY2025, it came in at $331.21 million, up 11.7% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 33.6% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $296.61 million in FY2024 (-4.7%), $311.39 million in FY2023 (+177.1%), $112.37 million in FY2022 (+27.0%) and $88.45 million in FY2021 (+13.7%).
- The Q1 2026 figure is the lowest quarterly Operating Expenses since Q2 2024.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 5.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 335.2% in Q3 2023, against a decline of 44.4% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $90.77 million (Q4 2025), $82.13 million (Q3 2025) and $80.27 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Catalyst Pharmaceuticals | 3.85 Bn | 1.04 Bn | 134.92 Mn | 76.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 76.16 Mn |
| Dec 31, 2025 | 90.77 Mn |
| Sep 30, 2025 | 82.13 Mn |
| Jun 30, 2025 | 80.27 Mn |
| Mar 31, 2025 | 78.05 Mn |
| Dec 31, 2024 | 78.98 Mn |
| Sep 30, 2024 | 77.79 Mn |
| Jun 30, 2024 | 68.46 Mn |
| Mar 31, 2024 | 71.38 Mn |
| Dec 31, 2023 | 68.88 Mn |
| Sep 30, 2023 | 139.88 Mn |
| Jun 30, 2023 | 52.88 Mn |
| Mar 31, 2023 | 49.76 Mn |
| Dec 31, 2022 | 29.96 Mn |
| Sep 30, 2022 | 32.14 Mn |
| Jun 30, 2022 | 24.54 Mn |
| Mar 31, 2022 | 25.72 Mn |
| Dec 31, 2021 | 25.57 Mn |
| Sep 30, 2021 | 21.95 Mn |
| Jun 30, 2021 | 20.53 Mn |
API Access
Catalyst Pharmaceuticals Operating Expenses 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-expenses&ticker=CPRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();