Catalyst Pharmaceuticals (CPRX) Cash & Equivalents (2010 - 2026)
Catalyst Pharmaceuticals (CPRX) posted Cash & Equivalents of $755.86 million for Q1 2026, up 30.2% from $580.66 million a year earlier and up 6.6% from the prior quarter.
Catalyst Pharmaceuticals (CPRX) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Catalyst Pharmaceuticals' Cash & Equivalents came in at $709.17 million, up 37.0% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 40.3% (FY2020 to FY2025).
- In prior years, Catalyst Pharmaceuticals' Cash & Equivalents was $517.55 million in FY2024 (+276.0%), $137.64 million in FY2023 (-53.9%), $298.4 million in FY2022 (+74.0%) and $171.45 million in FY2021 (+31.6%).
- The Q1 2026 figure stands as the highest quarterly Cash & Equivalents in data going back to Q3 2010.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last nine quarters, with growth averaging 117.0% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2024, with growth of 276.0%; the weakest was Q4 2023, with a decline of 53.9%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $709.17 million (Q4 2025), $689.89 million (Q3 2025) and $652.8 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 6.14 Bn |
| 10 | Catalyst Pharmaceuticals | 3.85 Bn | 1.04 Bn | 134.92 Mn | 755.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 755.86 Mn |
| Dec 31, 2025 | 709.17 Mn |
| Sep 30, 2025 | 689.89 Mn |
| Jun 30, 2025 | 652.80 Mn |
| Mar 31, 2025 | 580.66 Mn |
| Dec 31, 2024 | 517.55 Mn |
| Sep 30, 2024 | 442.33 Mn |
| Jun 30, 2024 | 375.69 Mn |
| Mar 31, 2024 | 310.41 Mn |
| Dec 31, 2023 | 137.64 Mn |
| Sep 30, 2023 | 120.97 Mn |
| Jun 30, 2023 | 178.79 Mn |
| Mar 31, 2023 | 148.25 Mn |
| Dec 31, 2022 | 298.40 Mn |
| Sep 30, 2022 | 256.07 Mn |
| Jun 30, 2022 | 210.91 Mn |
| Mar 31, 2022 | 178.37 Mn |
| Dec 31, 2021 | 171.45 Mn |
| Sep 30, 2021 | 154.84 Mn |
| Jun 30, 2021 | 135.30 Mn |
Catalyst Pharmaceuticals Cash & Equivalents 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=cash-and-equivalents&ticker=CPRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();