Cumberland Pharmaceuticals (CPIX) Total Current Liabilities (2010 - 2026)
Cumberland Pharmaceuticals (CPIX) reported Total Current Liabilities of $35.19 million for Q2 2026, up 46.8% from $23.97 million a year earlier and up 2.0% from the prior quarter.
Cumberland Pharmaceuticals (CPIX) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Cumberland Pharmaceuticals posted Total Current Liabilities of $36.74 million, up 16.2% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $31.62 million in FY2024 (+13.0%), $27.98 million in FY2023 (-2.1%), $28.58 million in FY2022 (+48.2%) and $19.28 million in FY2021 (-24.9%).
- Five-year quarterly Total Current Liabilities spans a low of $17.95 million in Q3 2021 and a high of $36.74 million in Q4 2025.
- Year over year, Total Current Liabilities has now increased in each of the last three quarters, with growth averaging 12.1% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q4 2022 (growth of 48.2%); the low point was Q3 2021 (a decline of 25.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $34.49 million (Q1 2026), $36.74 million (Q4 2025) and $24.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Cumberland Pharmaceuticals | 115.67 Mn | 73.83 Mn | - | 35.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.19 Mn |
| Mar 31, 2026 | 34.49 Mn |
| Dec 31, 2025 | 36.74 Mn |
| Sep 30, 2025 | 24.31 Mn |
| Jun 30, 2025 | 23.97 Mn |
| Mar 31, 2025 | 25.52 Mn |
| Dec 31, 2024 | 31.62 Mn |
| Sep 30, 2024 | 31.09 Mn |
| Jun 30, 2024 | 24.76 Mn |
| Mar 31, 2024 | 26.43 Mn |
| Dec 31, 2023 | 27.98 Mn |
| Sep 30, 2023 | 27.33 Mn |
| Jun 30, 2023 | 26.96 Mn |
| Mar 31, 2023 | 25.71 Mn |
| Dec 31, 2022 | 28.58 Mn |
| Sep 30, 2022 | 25.31 Mn |
| Jun 30, 2022 | 24.25 Mn |
| Mar 31, 2022 | 24.56 Mn |
| Dec 31, 2021 | 19.28 Mn |
| Sep 30, 2021 | 17.95 Mn |
Cumberland Pharmaceuticals Total 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-current-liabilities&ticker=CPIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=CPIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();