Catalyst Pharmaceuticals (CPRX) Change in Accured Expenses (2010 - 2026)
Catalyst Pharmaceuticals (CPRX) reported Change in Accured Expenses of -$9.21 million for Q1 2026, compared with -$2.55 million a year earlier.
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Analysis
Catalyst Pharmaceuticals (CPRX) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Catalyst Pharmaceuticals' Change in Accured Expenses came in at $17.51 million, down 59.1% year-over-year; for FY2025, it was $24.16 million, down 55.1% from FY2024.
- By year, Change in Accured Expenses came in at $53.85 million in FY2024 (+828.4%), $5.8 million in FY2023 (-64.6%), $16.39 million in FY2022 (+196.9%) and $5.52 million in FY2021.
- The Q1 2026 figure ranks as the lowest quarterly Change in Accured Expenses in data going back to Q3 2010.
- Year over year, Change in Accured Expenses gained in two of the last five quarters, with growth averaging 34.4%.
- The high point for year-over-year Change in Accured Expenses in five years was Q3 2024 (growth of 288.3%); the low point was Q2 2025 (a decline of 49.7%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $5.21 million (Q4 2025), $13.24 million (Q3 2025) and $8.27 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | - |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | - |
| 10 | Catalyst Pharmaceuticals | 3.85 Bn | 1.04 Bn | 134.92 Mn | -9.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -9.21 Mn |
| Dec 31, 2025 | 5.21 Mn |
| Sep 30, 2025 | 13.24 Mn |
| Jun 30, 2025 | 8.27 Mn |
| Mar 31, 2025 | -2.55 Mn |
| Dec 31, 2024 | 8.90 Mn |
| Sep 30, 2024 | 20.05 Mn |
| Jun 30, 2024 | 16.43 Mn |
| Mar 31, 2024 | 8.47 Mn |
| Dec 31, 2023 | 8.19 Mn |
| Sep 30, 2023 | 5.16 Mn |
| Jun 30, 2023 | -5.13 Mn |
| Mar 31, 2023 | -2.42 Mn |
| Dec 31, 2022 | 11.51 Mn |
| Sep 30, 2022 | 9.02 Mn |
| Jun 30, 2022 | 2.37 Mn |
| Mar 31, 2022 | -6.50 Mn |
| Dec 31, 2021 | 6.44 Mn |
| Sep 30, 2021 | 4.57 Mn |
| Jun 30, 2021 | 1.55 Mn |
API Access
Catalyst Pharmaceuticals Change in Accured 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=change-in-accured-expenses&ticker=CPRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=CPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();