Catalyst Pharmaceuticals (CPRX) Total Non-Current Liabilities (2010 - 2026)
Catalyst Pharmaceuticals (CPRX) posted Total Non-Current Liabilities of $134.63 million for Q1 2026, up 17.8% from $114.33 million a year earlier but down 9.9% from the prior quarter.
Catalyst Pharmaceuticals (CPRX) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Catalyst Pharmaceuticals' Total Non-Current Liabilities came in at $149.5 million, up 21.1% from FY2024.
- Annual Total Non-Current Liabilities has increased for four consecutive years, with a four-year compound annual growth rate of 48.2% (FY2021 to FY2025).
- In prior years, Catalyst Pharmaceuticals' Total Non-Current Liabilities was $123.46 million in FY2024 (+55.8%), $79.25 million in FY2023 (+29.6%), $61.15 million in FY2022 (+97.5%) and $30.96 million in FY2021.
- Quarterly Total Non-Current Liabilities has run from a low of $30.96 million in Q4 2021 to a high of $149.5 million in Q4 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last 11 quarters, with growth averaging 40.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 17.8% in Q1 2026 to 97.5% in Q4 2022.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $149.5 million (Q4 2025), $131.2 million (Q3 2025) and $115.58 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Catalyst Pharmaceuticals | 3.85 Bn | 1.04 Bn | 134.92 Mn | 134.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 134.63 Mn |
| Dec 31, 2025 | 149.50 Mn |
| Sep 30, 2025 | 131.20 Mn |
| Jun 30, 2025 | 115.58 Mn |
| Mar 31, 2025 | 114.33 Mn |
| Dec 31, 2024 | 123.46 Mn |
| Sep 30, 2024 | 108.28 Mn |
| Jun 30, 2024 | 95.31 Mn |
| Mar 31, 2024 | 82.66 Mn |
| Dec 31, 2023 | 79.25 Mn |
| Sep 30, 2023 | 61.09 Mn |
| Jun 30, 2023 | 55.88 Mn |
| Mar 31, 2023 | 60.18 Mn |
| Dec 31, 2022 | 61.15 Mn |
| Sep 30, 2022 | 48.32 Mn |
| Dec 31, 2021 | 30.96 Mn |
| Dec 31, 2019 | 24.75 Mn |
| Jun 30, 2019 | 14.15 Mn |
| Mar 31, 2019 | 9.90 Mn |
| Dec 31, 2018 | 9.51 Mn |
Catalyst Pharmaceuticals Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=CPRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();