Sarepta Therapeutics (SRPT) Total Non-Current Liabilities (2010 - 2026)
Sarepta Therapeutics (SRPT) posted Total Non-Current Liabilities of $1.66 billion for Q2 2026, down 25.5% from $2.23 billion a year earlier and down 0.8% from the prior quarter.
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Analysis
Sarepta Therapeutics (SRPT) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Sarepta Therapeutics' Total Non-Current Liabilities came in at $2.21 billion, down 7.6% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- In prior years, Sarepta Therapeutics' Total Non-Current Liabilities was $2.39 billion in FY2024 (+0.9%), $2.37 billion in FY2023 (-12.5%), $2.71 billion in FY2022 (+24.4%) and $2.18 billion in FY2021 (+0.2%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q4 2019.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last five quarters, with an average decline of 8.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2022, with growth of 25.1%; the weakest was Q2 2026, with a decline of 25.5%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $1.67 billion (Q1 2026), $2.21 billion (Q4 2025) and $2.14 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 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 | 2.14 Bn |
| Jun 30, 2025 | 2.23 Bn |
| Mar 31, 2025 | 2.23 Bn |
| Dec 31, 2024 | 2.39 Bn |
| Sep 30, 2024 | 2.33 Bn |
| Jun 30, 2024 | 2.30 Bn |
| Mar 31, 2024 | 2.21 Bn |
| Dec 31, 2023 | 2.37 Bn |
| Sep 30, 2023 | 2.31 Bn |
| Jun 30, 2023 | 2.35 Bn |
| Mar 31, 2023 | 2.31 Bn |
| Dec 31, 2022 | 2.71 Bn |
| Sep 30, 2022 | 2.69 Bn |
| Jun 30, 2022 | 2.23 Bn |
| Mar 31, 2022 | 2.16 Bn |
| Dec 31, 2021 | 2.18 Bn |
| Sep 30, 2021 | 2.15 Bn |
API Access
Sarepta Therapeutics Total Non-Current 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-non-current-liabilities&ticker=SRPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();