Cumberland Pharmaceuticals (CPIX) Total Non-Current Liabilities (2010 - 2026)
Cumberland Pharmaceuticals' Total Non-Current Liabilities came in at $41.46 million for Q2 2026, up 22.2% from $33.93 million a year earlier but down 5.9% from the prior quarter.
Cumberland Pharmaceuticals (CPIX) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Cumberland Pharmaceuticals' Total Non-Current Liabilities was $48.32 million, up 3.4% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $46.74 million in FY2024 (+1.5%), $46.06 million in FY2023 (-6.7%), $49.37 million in FY2022 (+43.6%) and $34.37 million in FY2021 (-17.6%).
- The five-year range for quarterly Total Non-Current Liabilities is $33.18 million (Q3 2021) to $49.37 million (Q4 2022).
- Year-over-year, Total Non-Current Liabilities has increased for three consecutive quarters, with an average decline of 3.3% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2022 (growth of 43.6%), and the weakest in Q3 2025 (a decline of 26.8%).
- Business Quant data shows CPIX's Total Non-Current Liabilities at $44.07 million (Q1 2026), $48.32 million (Q4 2025) and $33.83 million (Q3 2025) in the three quarters before Q2 2026.
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 | Cumberland Pharmaceuticals | 115.67 Mn | 73.83 Mn | - | 41.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.46 Mn |
| Mar 31, 2026 | 44.07 Mn |
| Dec 31, 2025 | 48.32 Mn |
| Sep 30, 2025 | 33.83 Mn |
| Jun 30, 2025 | 33.93 Mn |
| Mar 31, 2025 | 35.59 Mn |
| Dec 31, 2024 | 46.74 Mn |
| Sep 30, 2024 | 46.19 Mn |
| Jun 30, 2024 | 45.95 Mn |
| Mar 31, 2024 | 47.71 Mn |
| Dec 31, 2023 | 46.06 Mn |
| Sep 30, 2023 | 45.64 Mn |
| Jun 30, 2023 | 45.58 Mn |
| Mar 31, 2023 | 46.33 Mn |
| Dec 31, 2022 | 49.37 Mn |
| Sep 30, 2022 | 42.61 Mn |
| Jun 30, 2022 | 43.25 Mn |
| Mar 31, 2022 | 44.58 Mn |
| Dec 31, 2021 | 34.37 Mn |
| Sep 30, 2021 | 33.18 Mn |
Cumberland 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=CPIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CPIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();