Catalyst Pharmaceuticals (CPRX) Operating Margin (2018 - 2026)
Catalyst Pharmaceuticals' Operating Margin was 49.02% in Q1 2026, up 4.21 percentage points from 44.81% a year earlier and up 8.50 percentage points from the prior quarter.
Catalyst Pharmaceuticals (CPRX) Operating Margin (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Catalyst Pharmaceuticals' Operating Margin was 44.83% through Mar 31, 2026, up 1.56 percentage points year-over-year; for FY2025, it was 43.77%, up 4.09 percentage points from FY2024.
- Operating Margin shows a five-year change of +9.08 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was 39.68% in FY2024 (+17.88 pp), 21.80% in FY2023 (-25.74 pp), 47.54% in FY2022 (+10.35 pp) and 37.20% in FY2021 (+2.51 pp).
- The Q1 2026 figure marks the highest quarterly Operating Margin since Q4 2022.
- Compared with a year earlier, Operating Margin was higher in six of the last eight quarters, with an average year-over-year change of +12.94 percentage points.
- The best year-over-year quarter for Operating Margin over five years was Q3 2024 (a gain of 75.77 percentage points); the worst was Q3 2023 (a drop of 80.07 percentage points).
- Per Business Quant data, CPRX's Operating Margin in the three quarters before Q1 2026 was 40.52% (Q4 2025), 44.66% (Q3 2025) and 45.24% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 28.21% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 37.86% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -3.52% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 32.97% |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 20.57% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 34.95% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -133.21% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 28.37% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 37.40% |
| 10 | Catalyst Pharmaceuticals | 3.85 Bn | 1.04 Bn | 134.92 Mn | 49.02% |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 49.02% |
| Dec 31, 2025 | 40.52% |
| Sep 30, 2025 | 44.66% |
| Jun 30, 2025 | 45.24% |
| Mar 31, 2025 | 44.81% |
| Dec 31, 2024 | 44.31% |
| Sep 30, 2024 | 39.56% |
| Jun 30, 2024 | 44.21% |
| Mar 31, 2024 | 27.54% |
| Dec 31, 2023 | 37.71% |
| Sep 30, 2023 | -36.21% |
| Jun 30, 2023 | 46.90% |
| Mar 31, 2023 | 41.71% |
| Dec 31, 2022 | 50.70% |
| Sep 30, 2022 | 43.85% |
| Jun 30, 2022 | 53.79% |
| Mar 31, 2022 | 40.30% |
| Dec 31, 2021 | 33.26% |
| Sep 30, 2021 | 38.95% |
| Jun 30, 2021 | 43.55% |
Catalyst Pharmaceuticals Operating Margin 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-margin&ticker=CPRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=CPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();