Sarepta Therapeutics (SRPT) Cash & Equivalents (2010 - 2026)
Sarepta Therapeutics' Cash & Equivalents came in at $571.15 million for Q2 2026, up 11.9% from $510.6 million a year earlier and up 23.0% from the prior quarter.
Sarepta Therapeutics (SRPT) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Sarepta Therapeutics' Cash & Equivalents was $801.28 million, down 27.4% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -11.8% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $1.1 billion in FY2024 (+157.5%), $428.43 million in FY2023 (-55.7%), $966.78 million in FY2022 (-54.3%) and $2.12 billion in FY2021 (+40.8%).
- The five-year range for quarterly Cash & Equivalents is $197.86 million (Q3 2024) to $2.12 billion (Q4 2021).
- Year-over-year, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 46.3%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2025 (growth of 209.9%), and the weakest in Q3 2024 (a decline of 63.5%).
- Business Quant data shows SRPT's Cash & Equivalents at $464.5 million (Q1 2026), $801.28 million (Q4 2025) and $613.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Sarepta Therapeutics | 1.86 Bn | -1.38 Bn | 251.87 Mn | 571.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 571.15 Mn |
| Mar 31, 2026 | 464.50 Mn |
| Dec 31, 2025 | 801.28 Mn |
| Sep 30, 2025 | 613.10 Mn |
| Jun 30, 2025 | 510.60 Mn |
| Mar 31, 2025 | 240.87 Mn |
| Dec 31, 2024 | 1.10 Bn |
| Sep 30, 2024 | 197.86 Mn |
| Jun 30, 2024 | 383.62 Mn |
| Mar 31, 2024 | 427.29 Mn |
| Dec 31, 2023 | 428.43 Mn |
| Sep 30, 2023 | 541.93 Mn |
| Jun 30, 2023 | 851.93 Mn |
| Mar 31, 2023 | 871.67 Mn |
| Dec 31, 2022 | 966.78 Mn |
| Sep 30, 2022 | 1.04 Bn |
| Jun 30, 2022 | 868.57 Mn |
| Mar 31, 2022 | 1.23 Bn |
| Dec 31, 2021 | 2.12 Bn |
| Sep 30, 2021 | 1.60 Bn |
Sarepta Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=SRPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();