Cumberland Pharmaceuticals (CPIX) Operating Expenses (2010 - 2026)
Cumberland Pharmaceuticals (CPIX) posted Operating Expenses of $3.33 million for Q2 2026, down 5.0% from $3.5 million a year earlier and down 72.9% from the prior quarter.
Cumberland Pharmaceuticals (CPIX) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Cumberland Pharmaceuticals was $40.9 million, up 10.6% year-over-year; for FY2025, it came in at $47.31 million, up 6.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- In prior years, Cumberland Pharmaceuticals' Operating Expenses was $44.3 million in FY2024 (-9.8%), $49.11 million in FY2023 (+2.9%), $47.72 million in FY2022 (+9.3%) and $43.66 million in FY2021 (-0.4%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with an average decline of 8.5%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 36.2%; the weakest was Q2 2025, with a decline of 67.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $12.26 million (Q1 2026), $15.05 million (Q4 2025) and $10.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Cumberland Pharmaceuticals | 115.67 Mn | 73.83 Mn | - | 3.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.33 Mn |
| Mar 31, 2026 | 12.26 Mn |
| Dec 31, 2025 | 15.05 Mn |
| Sep 30, 2025 | 10.26 Mn |
| Jun 30, 2025 | 3.50 Mn |
| Mar 31, 2025 | 10.42 Mn |
| Dec 31, 2024 | 12.28 Mn |
| Sep 30, 2024 | 10.78 Mn |
| Jun 30, 2024 | 10.88 Mn |
| Mar 31, 2024 | 10.37 Mn |
| Dec 31, 2023 | 15.53 Mn |
| Sep 30, 2023 | 11.95 Mn |
| Jun 30, 2023 | 10.87 Mn |
| Mar 31, 2023 | 10.76 Mn |
| Dec 31, 2022 | 11.40 Mn |
| Sep 30, 2022 | 11.70 Mn |
| Jun 30, 2022 | 12.15 Mn |
| Mar 31, 2022 | 12.47 Mn |
| Dec 31, 2021 | 12.67 Mn |
| Sep 30, 2021 | 9.64 Mn |
Cumberland Pharmaceuticals Operating 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=operating-expenses&ticker=CPIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CPIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();