Cumberland Pharmaceuticals (CPIX) Return on Sales [ROS] (2010 - 2026)
Cumberland Pharmaceuticals (CPIX) posted Return on Sales [ROS] of -1898.65% for Q2 2026, down 1079.45 percentage points from -819.21% a year earlier and down 1864.38 percentage points from the prior quarter.
Cumberland Pharmaceuticals (CPIX) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Cumberland Pharmaceuticals was -30.79%, down 13.82 percentage points year-over-year; for FY2025, it was -6.27%, up 10.72 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +10.77 percentage points (FY2020 to FY2025).
- In prior years, Cumberland Pharmaceuticals' Return on Sales [ROS] was -16.99% in FY2024 (+7.17 pp), -24.16% in FY2023 (-10.58 pp), -13.58% in FY2022 (+7.76 pp) and -21.34% in FY2021 (-4.29 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] in data going back to Q2 2010.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -231.21 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2024, with a gain of 48.41 percentage points; the weakest was Q2 2026, with a drop of 1079.45 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -34.27% (Q1 2026), -10.02% (Q4 2025) and -23.70% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 28.37% |
| 10 | Cumberland Pharmaceuticals | 112.52 Mn | 70.68 Mn | - | -1,898.65% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,898.65% |
| Mar 31, 2026 | -34.27% |
| Dec 31, 2025 | -10.02% |
| Sep 30, 2025 | -23.70% |
| Jun 30, 2025 | -819.21% |
| Mar 31, 2025 | 11.03% |
| Dec 31, 2024 | -17.65% |
| Sep 30, 2024 | -18.65% |
| Jun 30, 2024 | -10.42% |
| Mar 31, 2024 | -22.00% |
| Dec 31, 2023 | -66.07% |
| Sep 30, 2023 | -18.51% |
| Jun 30, 2023 | 0.21% |
| Mar 31, 2023 | -16.60% |
| Dec 31, 2022 | -24.97% |
| Sep 30, 2022 | -2.53% |
| Jun 30, 2022 | -17.93% |
| Mar 31, 2022 | -11.56% |
| Dec 31, 2021 | -52.33% |
| Sep 30, 2021 | -19.37% |
Cumberland Pharmaceuticals Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CPIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CPIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();