CASI Pharmaceuticals (CASIF) Prepaid Assets (2021 - 2026)
CASI Pharmaceuticals' Prepaid Assets came in at $984,000 for Q2 2026, down 62.7% from $2.64 million a year earlier.
Analysis
CASI Pharmaceuticals (CASIF) Prepaid Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, CASI Pharmaceuticals' Prepaid Assets was $2.14 million, up 100.5% from FY2024.
- Prepaid Assets carries a four-year compound annual growth rate of 15.4% (FY2021 to FY2025).
- Going back by year, Prepaid Assets was $1.07 million in FY2024, $2.98 million in FY2022 (+147.1%) and $1.2 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Prepaid Assets in data going back to Q4 2021.
- Year-over-year, Prepaid Assets increased in three of the last four quarters, with growth averaging 24.5%.
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 | CASI Pharmaceuticals | 2.47 Mn | -18.36 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 984,000.00 |
| Dec 31, 2025 | 2.14 Mn |
| Sep 30, 2025 | 2.01 Mn |
| Jun 30, 2025 | 2.64 Mn |
| Mar 31, 2025 | 2.71 Mn |
| Dec 31, 2024 | 1.07 Mn |
| Jun 30, 2024 | 2.11 Mn |
| Mar 31, 2024 | 2.00 Mn |
| Sep 30, 2023 | 2.03 Mn |
| Jun 30, 2023 | 1.91 Mn |
| Mar 31, 2023 | 2.63 Mn |
| Dec 31, 2022 | 2.98 Mn |
| Dec 31, 2021 | 1.20 Mn |
API Access
CASI Pharmaceuticals Prepaid Assets 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=prepaid-assets&ticker=CASIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "CASIF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=CASIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();