Sarepta Therapeutics (SRPT) Accumulated Expenses (2013 - 2026)
Sarepta Therapeutics' Accumulated Expenses was $325.23 million in Q2 2026, down 13.8% from $377.4 million a year earlier but up 7.6% from the prior quarter.
Powered by 
Analysis
Sarepta Therapeutics (SRPT) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Sarepta Therapeutics came in at $359.66 million, down 3.7% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $373.51 million in FY2024 (+18.6%), $315 million in FY2023 (-24.8%), $419 million in FY2022 (+54.2%) and $271.7 million in FY2021 (+40.4%).
- Quarterly Accumulated Expenses has moved between $221.01 million (Q3 2021) and $419 million (Q4 2022) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for four straight quarters, with growth averaging 2.1% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2022 (growth of 67.0%); the worst was Q4 2023 (a decline of 24.8%).
- Per Business Quant data, SRPT's Accumulated Expenses in the three quarters before Q2 2026 was $302.37 million (Q1 2026), $359.66 million (Q4 2025) and $295.79 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 325.23 Mn |
| Mar 31, 2026 | 302.37 Mn |
| Dec 31, 2025 | 359.66 Mn |
| Sep 30, 2025 | 295.79 Mn |
| Jun 30, 2025 | 377.40 Mn |
| Mar 31, 2025 | 391.65 Mn |
| Dec 31, 2024 | 373.51 Mn |
| Sep 30, 2024 | 344.83 Mn |
| Jun 30, 2024 | 350.40 Mn |
| Mar 31, 2024 | 283.32 Mn |
| Dec 31, 2023 | 315.00 Mn |
| Sep 30, 2023 | 322.35 Mn |
| Jun 30, 2023 | 326.88 Mn |
| Mar 31, 2023 | 345.55 Mn |
| Dec 31, 2022 | 419.00 Mn |
| Sep 30, 2022 | 369.00 Mn |
| Jun 30, 2022 | 383.70 Mn |
| Mar 31, 2022 | 293.91 Mn |
| Dec 31, 2021 | 271.70 Mn |
| Sep 30, 2021 | 221.01 Mn |
API Access
Sarepta Therapeutics 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=accumulated-expenses&ticker=SRPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=SRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();