Catalyst Pharmaceuticals (CPRX) Accumulated Expenses (2010 - 2026)
Catalyst Pharmaceuticals (CPRX) reported Accumulated Expenses of $125.25 million for Q1 2026, up 24.7% from $100.45 million a year earlier but down 7.9% from the prior quarter.
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Analysis
Catalyst Pharmaceuticals (CPRX) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Catalyst Pharmaceuticals posted Accumulated Expenses of $135.95 million, up 30.6% from FY2024.
- Accumulated Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 49.0% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $104.09 million in FY2024 (+69.9%), $61.27 million in FY2023 (+14.3%), $53.61 million in FY2022 (+120.7%) and $24.3 million in FY2021 (+31.3%).
- Five-year quarterly Accumulated Expenses spans a low of $13.21 million in Q2 2021 and a high of $135.95 million in Q4 2025.
- Year over year, Accumulated Expenses has now increased in each of the last 19 quarters, with growth averaging 47.2% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q1 2023 (growth of 199.6%); the low point was Q2 2021 (a decline of 8.3%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $135.95 million (Q4 2025), $119.64 million (Q3 2025) and $107.48 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 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 | 125.25 Mn |
| Dec 31, 2025 | 135.95 Mn |
| Sep 30, 2025 | 119.64 Mn |
| Jun 30, 2025 | 107.48 Mn |
| Mar 31, 2025 | 100.45 Mn |
| Dec 31, 2024 | 104.09 Mn |
| Sep 30, 2024 | 93.83 Mn |
| Jun 30, 2024 | 85.20 Mn |
| Mar 31, 2024 | 69.31 Mn |
| Dec 31, 2023 | 61.27 Mn |
| Sep 30, 2023 | 53.21 Mn |
| Jun 30, 2023 | 48.08 Mn |
| Mar 31, 2023 | 53.32 Mn |
| Dec 31, 2022 | 53.61 Mn |
| Sep 30, 2022 | 42.15 Mn |
| Jun 30, 2022 | 20.17 Mn |
| Mar 31, 2022 | 17.80 Mn |
| Dec 31, 2021 | 24.30 Mn |
| Sep 30, 2021 | 17.86 Mn |
| Jun 30, 2021 | 13.21 Mn |
API Access
Catalyst Pharmaceuticals Accumulated 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=accumulated-expenses&ticker=CPRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();