Collegium Pharmaceutical (COLL) Amortization - Intangibles (2019 - 2026)
Collegium Pharmaceutical (COLL) posted Amortization - Intangibles of $62.95 million for Q2 2026, up 13.5% from $55.47 million a year earlier and up 13.5% from the prior quarter.
Collegium Pharmaceutical (COLL) Amortization - Intangibles (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Collegium Pharmaceutical was $229.37 million, up 10.7% year-over-year; for FY2025, it came in at $221.89 million, up 34.2% from FY2024.
- Annual Amortization - Intangibles has increased for six consecutive years, with a five-year compound annual growth rate of 29.6% (FY2020 to FY2025).
- In prior years, Collegium Pharmaceutical's Amortization - Intangibles was $165.3 million in FY2024 (+13.4%), $145.76 million in FY2023 (+7.0%), $136.26 million in FY2022 (+102.8%) and $67.18 million in FY2021 (+10.7%).
- The Q2 2026 figure stands as the highest quarterly Amortization - Intangibles in data going back to Q1 2019.
- On a year-over-year basis, Amortization - Intangibles increased in six of the last eight quarters, with growth averaging 30.5%.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q4 2022, with growth of 151.7%; the weakest was Q4 2023, with a decline of 18.4%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $55.47 million (Q1 2026), $55.47 million (Q4 2025) and $55.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Collegium Pharmaceutical | 709.11 Mn | -514.65 Mn | 110.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.95 Mn |
| Mar 31, 2026 | 55.47 Mn |
| Dec 31, 2025 | 55.47 Mn |
| Sep 30, 2025 | 55.47 Mn |
| Jun 30, 2025 | 55.47 Mn |
| Mar 31, 2025 | 55.47 Mn |
| Dec 31, 2024 | 55.47 Mn |
| Sep 30, 2024 | 40.80 Mn |
| Jun 30, 2024 | 34.52 Mn |
| Mar 31, 2024 | 34.52 Mn |
| Dec 31, 2023 | 34.51 Mn |
| Sep 30, 2023 | 36.32 Mn |
| Jun 30, 2023 | 37.46 Mn |
| Mar 31, 2023 | 37.47 Mn |
| Dec 31, 2022 | 42.28 Mn |
| Sep 30, 2022 | 37.55 Mn |
| Jun 30, 2022 | 37.50 Mn |
| Mar 31, 2022 | 18.92 Mn |
| Dec 31, 2021 | 16.80 Mn |
| Sep 30, 2021 | 16.80 Mn |
Collegium Pharmaceutical Amortization - Intangibles 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=amortization-intangibles&ticker=COLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=COLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();