Sarepta Therapeutics (SRPT) Other Non-Current Liabilities (2012 - 2026)
Sarepta Therapeutics (SRPT) recorded Other Non-Current Liabilities of $1.83 million in Q2 2026, down 96.1% from $47.4 million a year earlier but up 10.8% from the prior quarter.
Sarepta Therapeutics (SRPT) Other Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Sarepta Therapeutics reported Other Non-Current Liabilities of $1.53 million, down 96.8% from FY2024.
- Annual Other Non-Current Liabilities has a five-year compound annual growth rate of -50.4% (FY2020 to FY2025).
- Across earlier years, Other Non-Current Liabilities came in at $47.4 million in FY2024 (+24.4%), $38.1 million in FY2023 (+3.3%), $36.9 million in FY2022 (-15.4%) and $43.6 million in FY2021 (-14.2%).
- Quarterly Other Non-Current Liabilities has ranged from $1.53 million in Q4 2025 to $48.2 million in Q2 2024 over the past five years.
- On a year-over-year basis, Other Non-Current Liabilities has declined for six consecutive quarters, with an average decline of 33.4% over the last eight quarters.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 33.5% in Q2 2024, against a decline of 96.8% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.65 million (Q1 2026), $1.53 million (Q4 2025) and $36.3 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.83 Mn |
| Mar 31, 2026 | 1.65 Mn |
| Dec 31, 2025 | 1.53 Mn |
| Sep 30, 2025 | 36.30 Mn |
| Jun 30, 2025 | 47.40 Mn |
| Mar 31, 2025 | 47.40 Mn |
| Dec 31, 2024 | 47.40 Mn |
| Sep 30, 2024 | 47.40 Mn |
| Jun 30, 2024 | 48.20 Mn |
| Mar 31, 2024 | 48.20 Mn |
| Dec 31, 2023 | 38.10 Mn |
| Sep 30, 2023 | 38.10 Mn |
| Jun 30, 2023 | 36.10 Mn |
| Mar 31, 2023 | 36.90 Mn |
| Dec 31, 2022 | 36.90 Mn |
| Sep 30, 2022 | 36.90 Mn |
| Jun 30, 2022 | 43.60 Mn |
| Mar 31, 2022 | 43.60 Mn |
| Dec 31, 2021 | 43.60 Mn |
| Sep 30, 2021 | 43.60 Mn |
Sarepta Therapeutics Other 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=other-non-current-liabilities&ticker=SRPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=SRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();