Collegium Pharmaceutical (COLL) Return on Sales [ROS] (2016 - 2026)
Collegium Pharmaceutical (COLL) posted Return on Sales [ROS] of 1.85% for Q2 2026, down 16.82 percentage points from 18.67% a year earlier and down 14.12 percentage points from the prior quarter.
Collegium Pharmaceutical (COLL) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Collegium Pharmaceutical was 19.48%, up 1.13 percentage points year-over-year; for FY2025, it was 23.01%, down 3.89 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +4.88 percentage points (FY2020 to FY2025).
- In prior years, Collegium Pharmaceutical's Return on Sales [ROS] was 26.91% in FY2024 (-2.55 pp), 29.46% in FY2023 (+22.28 pp), 7.18% in FY2022 (+0.81 pp) and 6.37% in FY2021 (-11.77 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q1 2022.
- 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 -7.99 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2022, with a gain of 133.78 percentage points; the weakest was Q4 2021, with a drop of 144.37 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 15.97% (Q1 2026), 29.57% (Q4 2025) and 29.66% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Collegium Pharmaceutical | 715.61 Mn | -508.15 Mn | 110.29 Mn | 1.85% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.85% |
| Mar 31, 2026 | 15.97% |
| Dec 31, 2025 | 29.57% |
| Sep 30, 2025 | 29.66% |
| Jun 30, 2025 | 18.67% |
| Mar 31, 2025 | 12.20% |
| Dec 31, 2024 | 20.95% |
| Sep 30, 2024 | 21.87% |
| Jun 30, 2024 | 32.68% |
| Mar 31, 2024 | 34.14% |
| Dec 31, 2023 | 41.20% |
| Sep 30, 2023 | 32.93% |
| Jun 30, 2023 | 26.29% |
| Mar 31, 2023 | 17.01% |
| Dec 31, 2022 | 9.07% |
| Sep 30, 2022 | 16.11% |
| Jun 30, 2022 | 8.99% |
| Mar 31, 2022 | -11.96% |
| Dec 31, 2021 | -124.71% |
| Sep 30, 2021 | 17.95% |
Collegium Pharmaceutical 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=COLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "COLL", "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=COLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();