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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Sarepta Therapeutics | 1.76 Bn | -1.50 Bn | 192.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 718,000.00 |
| 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 |
API Access
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_KEYimport 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();