Sarepta Therapeutics (SRPT) Amortization - Intangibles (2017 - 2026)
Sarepta Therapeutics (SRPT) posted Amortization - Intangibles of $717,000 for Q2 2026, up 7.5% from $667,000 a year earlier and up 3.8% from the prior quarter.
Sarepta Therapeutics (SRPT) Amortization - Intangibles (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Sarepta Therapeutics was $2.76 million, up 11.8% year-over-year; for FY2025, it was $2.62 million, up 9.0% from FY2024.
- Annual Amortization - Intangibles has increased for five consecutive years, with a five-year compound annual growth rate of 30.2% (FY2020 to FY2025).
- In prior years, Sarepta Therapeutics' Amortization - Intangibles was $2.41 million in FY2024 (+54.3%), $1.56 million in FY2023 (+118.3%), $714,000 in FY2022 (+1.1%) and $706,000 in FY2021 (+0.9%).
- The Q2 2026 figure stands as the highest quarterly Amortization - Intangibles since Q4 2023.
- On a year-over-year basis, Amortization - Intangibles has increased in each of the last five quarters, with growth averaging 9.3% over the last eight quarters.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q4 2023, with growth of 326.3%; the weakest was Q4 2024, with a decline of 21.2%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $691,000 (Q1 2026), $677,000 (Q4 2025) and $677,000 (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 | Sarepta Therapeutics | 1.92 Bn | -1.31 Bn | 251.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 717,000.00 |
| Mar 31, 2026 | 691,000.00 |
| Dec 31, 2025 | 677,000.00 |
| Sep 30, 2025 | 677,000.00 |
| Jun 30, 2025 | 667,000.00 |
| Mar 31, 2025 | 601,000.00 |
| Dec 31, 2024 | 601,000.00 |
| Sep 30, 2024 | 602,000.00 |
| Jun 30, 2024 | 601,000.00 |
| Mar 31, 2024 | 601,000.00 |
| Dec 31, 2023 | 763,000.00 |
| Sep 30, 2023 | 439,000.00 |
| Jun 30, 2023 | 179,000.00 |
| Mar 31, 2023 | 178,000.00 |
| Dec 31, 2022 | 179,000.00 |
| Sep 30, 2022 | 178,000.00 |
| Jun 30, 2022 | 179,000.00 |
| Mar 31, 2022 | 178,000.00 |
| Dec 31, 2021 | 179,000.00 |
| Sep 30, 2021 | 178,000.00 |
Sarepta Therapeutics 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=SRPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "SRPT", "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=SRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();