Cumberland Pharmaceuticals (CPIX) Non-Current Assets (2010 - 2026)
Cumberland Pharmaceuticals' Non-Current Assets was $29.24 million in Q2 2026, down 20.3% from $36.7 million a year earlier and down 23.5% from the prior quarter.
Cumberland Pharmaceuticals (CPIX) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Cumberland Pharmaceuticals came in at $39.76 million, up 1.6% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of -3.1% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $39.13 million in FY2024 (-15.0%), $46.06 million in FY2023 (-2.1%), $47.05 million in FY2022 (+21.4%) and $38.77 million in FY2021 (-16.6%).
- The Q2 2026 figure marks the lowest quarterly Non-Current Assets since Q3 2018.
- Compared with a year earlier, Non-Current Assets was higher in two of the last eight quarters, with an average decline of 10.9%.
- The best year-over-year quarter for Non-Current Assets over five years was Q4 2022 (growth of 21.4%); the worst was Q2 2026 (a decline of 20.3%).
- Per Business Quant data, CPIX's Non-Current Assets in the three quarters before Q2 2026 was $38.21 million (Q1 2026), $39.76 million (Q4 2025) and $35.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Cumberland Pharmaceuticals | 115.67 Mn | 73.83 Mn | - | 29.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.24 Mn |
| Mar 31, 2026 | 38.21 Mn |
| Dec 31, 2025 | 39.76 Mn |
| Sep 30, 2025 | 35.96 Mn |
| Jun 30, 2025 | 36.70 Mn |
| Mar 31, 2025 | 38.06 Mn |
| Dec 31, 2024 | 39.13 Mn |
| Sep 30, 2024 | 41.51 Mn |
| Jun 30, 2024 | 42.94 Mn |
| Mar 31, 2024 | 45.30 Mn |
| Dec 31, 2023 | 46.06 Mn |
| Sep 30, 2023 | 45.98 Mn |
| Jun 30, 2023 | 45.70 Mn |
| Mar 31, 2023 | 45.66 Mn |
| Dec 31, 2022 | 47.05 Mn |
| Sep 30, 2022 | 41.62 Mn |
| Jun 30, 2022 | 48.77 Mn |
| Mar 31, 2022 | 51.36 Mn |
| Dec 31, 2021 | 38.77 Mn |
| Sep 30, 2021 | 40.36 Mn |
Cumberland Pharmaceuticals Non-Current 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=non-current-assets&ticker=CPIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "CPIX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-assets&ticker=CPIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();