Sarepta Therapeutics (SRPT) Other Accumulated Expenses (2009 - 2026)
Sarepta Therapeutics' Other Accumulated Expenses was $16.56 million in Q2 2026, up 18.3% from $14 million a year earlier and up 59.6% from the prior quarter.
Sarepta Therapeutics (SRPT) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Sarepta Therapeutics came in at $20.71 million, up 53.7% from FY2024.
- Other Accumulated Expenses shows a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $13.47 million in FY2024 (-24.5%), $17.85 million in FY2023 (+106.6%), $8.64 million in FY2022 (-42.6%) and $15.05 million in FY2021 (-32.0%).
- Quarterly Other Accumulated Expenses has moved between $8.64 million (Q4 2022) and $26.21 million (Q3 2022) over five years.
- Compared with a year earlier, Other Accumulated Expenses was higher in two of the last eight quarters, with an average decline of 6.3%.
- The best year-over-year quarter for Other Accumulated Expenses over five years was Q4 2023 (growth of 106.6%); the worst was Q4 2022 (a decline of 42.6%).
- Per Business Quant data, SRPT's Other Accumulated Expenses in the three quarters before Q2 2026 was $10.38 million (Q1 2026), $20.71 million (Q4 2025) and $10.66 million (Q3 2025).
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 26.03 Mn |
| Jun 30, 2026 | 16.56 Mn |
| Mar 31, 2026 | 10.38 Mn |
| Dec 31, 2025 | 11.39 Mn |
| Sep 30, 2025 | 10.66 Mn |
| Jun 30, 2025 | 14.00 Mn |
| Mar 31, 2025 | 15.66 Mn |
| Dec 31, 2024 | 13.47 Mn |
| Sep 30, 2024 | 17.29 Mn |
| Jun 30, 2024 | 17.13 Mn |
| Mar 31, 2024 | 16.27 Mn |
| Dec 31, 2023 | 17.85 Mn |
| Sep 30, 2023 | 17.95 Mn |
| Jun 30, 2023 | 16.99 Mn |
| Mar 31, 2023 | 17.38 Mn |
| Dec 31, 2022 | 8.64 Mn |
| Sep 30, 2022 | 26.21 Mn |
| Jun 30, 2022 | 16.42 Mn |
| Mar 31, 2022 | 17.80 Mn |
| Dec 31, 2021 | 15.05 Mn |
Sarepta Therapeutics Other Accumulated Expenses 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=other-accumulated-expenses&ticker=SRPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=SRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();