Collegium Pharmaceutical (COLL) EBITDA (2014 - 2026)
Collegium Pharmaceutical's EBITDA came in at $68.46 million for Q2 2026, down 25.4% from $91.71 million a year earlier and down 21.2% from the prior quarter.
Powered by 
Analysis
Collegium Pharmaceutical (COLL) EBITDA (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Collegium Pharmaceutical reported EBITDA of $391.04 million, up 14.6% year-over-year; for FY2025, it came in at $405.71 million, up 19.7% from FY2024.
- EBITDA has increased in each of the last four years, with a five-year compound annual growth rate of 28.1% (FY2020 to FY2025).
- Going back by year, EBITDA was $339.06 million in FY2024 (+7.2%), $316.22 million in FY2023 (+83.6%), $172.26 million in FY2022 (+99.0%) and $86.55 million in FY2021 (-26.5%).
- The Q2 2026 figure represents the lowest quarterly EBITDA since Q1 2023.
- Year-over-year, EBITDA increased in four of the last eight quarters, with growth averaging 7.2%.
- The fastest year-over-year change in EBITDA over five years came in Q1 2023 (growth of 553.7%), and the weakest in Q1 2022 (a decline of 75.0%).
- Business Quant data shows COLL's EBITDA at $86.83 million (Q1 2026), $117.15 million (Q4 2025) and $118.59 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 9.10 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 8.33 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 999.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 5.09 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 4.63 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -9.70 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 5.89 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.30 Bn |
| 10 | Collegium Pharmaceutical | 735.44 Mn | -488.33 Mn | 110.29 Mn | 68.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.46 Mn |
| Mar 31, 2026 | 86.83 Mn |
| Dec 31, 2025 | 117.15 Mn |
| Sep 30, 2025 | 118.59 Mn |
| Jun 30, 2025 | 91.71 Mn |
| Mar 31, 2025 | 78.25 Mn |
| Dec 31, 2024 | 94.62 Mn |
| Sep 30, 2024 | 76.59 Mn |
| Jun 30, 2024 | 82.94 Mn |
| Mar 31, 2024 | 84.91 Mn |
| Dec 31, 2023 | 97.15 Mn |
| Sep 30, 2023 | 82.17 Mn |
| Jun 30, 2023 | 73.99 Mn |
| Mar 31, 2023 | 62.91 Mn |
| Dec 31, 2022 | 54.86 Mn |
| Sep 30, 2022 | 58.51 Mn |
| Jun 30, 2022 | 49.27 Mn |
| Mar 31, 2022 | 9.62 Mn |
| Dec 31, 2021 | -16.90 Mn |
| Sep 30, 2021 | 31.39 Mn |
API Access
Collegium Pharmaceutical EBITDA 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=ebitda&ticker=COLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=COLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();