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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Sarepta Therapeutics | 1.96 Bn | -1.27 Bn | 251.87 Mn |
Historic Data
Download Data
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 | 38.00 Mn |
| Jun 30, 2025 | 48.60 Mn |
| Mar 31, 2025 | 48.33 Mn |
| Dec 31, 2024 | 96.55 Mn |
| Sep 30, 2024 | 48.40 Mn |
| Jun 30, 2024 | 55.29 Mn |
| Mar 31, 2024 | 55.72 Mn |
| Dec 31, 2023 | 41.10 Mn |
| Sep 30, 2023 | 38.10 Mn |
| Jun 30, 2023 | 36.14 Mn |
| Mar 31, 2023 | 36.94 Mn |
| Dec 31, 2022 | 36.94 Mn |
| Sep 30, 2022 | 36.90 Mn |
| Jun 30, 2022 | 54.60 Mn |
| Mar 31, 2022 | 54.60 Mn |
| Dec 31, 2021 | 54.60 Mn |
| Sep 30, 2021 | 64.17 Mn |
API Access
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_KEYimport 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();