Cumberland Pharmaceuticals (CPIX) Research & Development (2010 - 2026)
Cumberland Pharmaceuticals' Research & Development came in at $772,162 for Q2 2026, down 7.8% from $837,401 a year earlier and down 47.1% from the prior quarter.
Cumberland Pharmaceuticals (CPIX) Research & Development (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cumberland Pharmaceuticals reported Research & Development of $5.03 million, up 6.4% year-over-year; for FY2025, it was $5.57 million, up 15.6% from FY2024.
- Research & Development carries a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- Going back by year, Research & Development was $4.82 million in FY2024 (-17.4%), $5.83 million in FY2023 (-12.8%), $6.69 million in FY2022 (+17.7%) and $5.68 million in FY2021 (-1.5%).
- The Q2 2026 figure represents the lowest quarterly Research & Development since Q3 2016.
- Year-over-year, Research & Development increased in four of the last eight quarters, with an average decline of 2.3%.
- The fastest year-over-year change in Research & Development over five years came in Q1 2022 (growth of 38.8%), and the weakest in Q2 2023 (a decline of 37.2%).
- Business Quant data shows CPIX's Research & Development at $1.46 million (Q1 2026), $1.55 million (Q4 2025) and $1.25 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 4.25 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 4.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 2.57 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 4.54 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 2.11 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 1.61 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 3.02 Bn |
| 10 | Cumberland Pharmaceuticals | 81.50 Mn | 39.99 Mn | - | 772,162.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 772,162.00 |
| Mar 31, 2026 | 1.46 Mn |
| Dec 31, 2025 | 1.55 Mn |
| Sep 30, 2025 | 1.25 Mn |
| Jun 30, 2025 | 837,401.00 |
| Mar 31, 2025 | 1.30 Mn |
| Dec 31, 2024 | 1.29 Mn |
| Sep 30, 2024 | 1.31 Mn |
| Jun 30, 2024 | 1.06 Mn |
| Mar 31, 2024 | 1.16 Mn |
| Dec 31, 2023 | 1.26 Mn |
| Sep 30, 2023 | 1.92 Mn |
| Jun 30, 2023 | 1.15 Mn |
| Mar 31, 2023 | 1.50 Mn |
| Dec 31, 2022 | 1.41 Mn |
| Sep 30, 2022 | 1.71 Mn |
| Jun 30, 2022 | 1.82 Mn |
| Mar 31, 2022 | 1.75 Mn |
| Dec 31, 2021 | 1.61 Mn |
| Sep 30, 2021 | 1.45 Mn |
Cumberland Pharmaceuticals Research & Development 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=research-and-development&ticker=CPIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=CPIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();