Sarepta Therapeutics (SRPT) Total Liabilities (2010 - 2026)
Sarepta Therapeutics' Total Liabilities was $1.66 billion in Q2 2026, down 27.0% from $2.28 billion a year earlier and down 0.8% from the prior quarter.
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Analysis
Sarepta Therapeutics (SRPT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Sarepta Therapeutics came in at $2.21 billion, down 9.3% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $2.44 billion in FY2024 (+1.3%), $2.41 billion in FY2023 (-12.3%), $2.74 billion in FY2022 (+23.6%) and $2.22 billion in FY2021 (-0.1%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q4 2019.
- Compared with a year earlier, Total Liabilities has declined for five straight quarters, with an average decline of 8.9% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2022 (growth of 24.3%); the worst was Q2 2026 (a decline of 27.0%).
- Per Business Quant data, SRPT's Total Liabilities in the three quarters before Q2 2026 was $1.67 billion (Q1 2026), $2.21 billion (Q4 2025) and $2.17 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Sarepta Therapeutics | 1.99 Bn | -1.25 Bn | 251.87 Mn | 1.66 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.66 Bn |
| Mar 31, 2026 | 1.67 Bn |
| Dec 31, 2025 | 2.21 Bn |
| Sep 30, 2025 | 2.17 Bn |
| Jun 30, 2025 | 2.28 Bn |
| Mar 31, 2025 | 2.28 Bn |
| Dec 31, 2024 | 2.44 Bn |
| Sep 30, 2024 | 2.38 Bn |
| Jun 30, 2024 | 2.35 Bn |
| Mar 31, 2024 | 2.26 Bn |
| Dec 31, 2023 | 2.41 Bn |
| Sep 30, 2023 | 2.35 Bn |
| Jun 30, 2023 | 2.38 Bn |
| Mar 31, 2023 | 2.35 Bn |
| Dec 31, 2022 | 2.74 Bn |
| Sep 30, 2022 | 2.73 Bn |
| Jun 30, 2022 | 2.27 Bn |
| Mar 31, 2022 | 2.20 Bn |
| Dec 31, 2021 | 2.22 Bn |
| Sep 30, 2021 | 2.19 Bn |
API Access
Sarepta Therapeutics Total Liabilities 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=total-liabilities&ticker=SRPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();