Catalyst Pharmaceuticals (CPRX) Tax Provisions (2019 - 2026)
Catalyst Pharmaceuticals' Tax Provisions was $20.5 million in Q1 2026, up 40.9% from $14.55 million a year earlier and up 6.7% from the prior quarter.
Catalyst Pharmaceuticals (CPRX) Tax Provisions (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Catalyst Pharmaceuticals' Tax Provisions was $75.14 million through Mar 31, 2026, up 23.0% year-over-year; for FY2025, it came in at $69.19 million, up 32.1% from FY2024.
- Tax Provisions has now increased for four consecutive years.
- In earlier years, Tax Provisions was $52.37 million in FY2024 (+126.7%), $23.1 million in FY2023 (+6.8%), $21.64 million in FY2022 (+64.1%) and $13.19 million in FY2021.
- The Q1 2026 figure marks the highest quarterly Tax Provisions in data going back to Q2 2019.
- Compared with a year earlier, Tax Provisions has increased for six straight quarters, with growth averaging 48.8% over the last seven quarters.
- The best year-over-year quarter for Tax Provisions over five years was Q2 2021 (growth of 506.7%); the worst was Q1 2024 (a decline of 24.9%).
- Per Business Quant data, CPRX's Tax Provisions in the three quarters before Q1 2026 was $19.2 million (Q4 2025), $18.25 million (Q3 2025) and $17.19 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 1.21 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 662.00 Mn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 654.00 Mn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -1.01 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -291.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 393.00 Mn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 242.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -407.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 292.00 Mn |
| 10 | Catalyst Pharmaceuticals | 3.85 Bn | 1.04 Bn | 134.92 Mn | 20.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 20.50 Mn |
| Dec 31, 2025 | 19.20 Mn |
| Sep 30, 2025 | 18.25 Mn |
| Jun 30, 2025 | 17.19 Mn |
| Mar 31, 2025 | 14.55 Mn |
| Dec 31, 2024 | 18.25 Mn |
| Sep 30, 2024 | 13.32 Mn |
| Jun 30, 2024 | 14.99 Mn |
| Mar 31, 2024 | 5.81 Mn |
| Dec 31, 2023 | 11.86 Mn |
| Sep 30, 2023 | -7.26 Mn |
| Jun 30, 2023 | 10.75 Mn |
| Mar 31, 2023 | 7.75 Mn |
| Dec 31, 2022 | 7.54 Mn |
| Sep 30, 2022 | 3.26 Mn |
| Jun 30, 2022 | 6.63 Mn |
| Mar 31, 2022 | 4.22 Mn |
| Dec 31, 2021 | 3.50 Mn |
| Sep 30, 2021 | 3.74 Mn |
| Jun 30, 2021 | 3.72 Mn |
Catalyst Pharmaceuticals Tax Provisions 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=tax-provisions&ticker=CPRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=CPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();