Sarepta Therapeutics (SRPT) Operating Leases (2019 - 2026)
Sarepta Therapeutics (SRPT) posted Operating Leases of $198.23 million for Q2 2026, down 7.6% from $214.42 million a year earlier and down 0.1% from the prior quarter.
Sarepta Therapeutics (SRPT) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Sarepta Therapeutics' Operating Leases came in at $199.38 million, up 3.6% from FY2024.
- Annual Operating Leases has increased for four consecutive years, with a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- In prior years, Sarepta Therapeutics' Operating Leases was $192.47 million in FY2024 (+36.5%), $140.97 million in FY2023 (+144.8%), $57.58 million in FY2022 (+38.7%) and $41.51 million in FY2021 (-48.3%).
- The Q2 2026 figure stands as the lowest quarterly Operating Leases since Q4 2024.
- On a year-over-year basis, Operating Leases increased in six of the last eight quarters, with growth averaging 22.2%.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q3 2023, with growth of 282.5%; the weakest was Q4 2021, with a decline of 48.3%.
- According to Business Quant data, Operating Leases for the three prior quarters was $198.51 million (Q1 2026), $199.38 million (Q4 2025) and $215.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Sarepta Therapeutics | 1.99 Bn | -1.25 Bn | 251.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 198.23 Mn |
| Mar 31, 2026 | 198.51 Mn |
| Dec 31, 2025 | 199.38 Mn |
| Sep 30, 2025 | 215.04 Mn |
| Jun 30, 2025 | 214.42 Mn |
| Mar 31, 2025 | 205.46 Mn |
| Dec 31, 2024 | 192.47 Mn |
| Sep 30, 2024 | 170.01 Mn |
| Jun 30, 2024 | 143.60 Mn |
| Mar 31, 2024 | 140.10 Mn |
| Dec 31, 2023 | 140.97 Mn |
| Sep 30, 2023 | 134.75 Mn |
| Jun 30, 2023 | 129.17 Mn |
| Mar 31, 2023 | 53.93 Mn |
| Dec 31, 2022 | 57.58 Mn |
| Sep 30, 2022 | 35.23 Mn |
| Jun 30, 2022 | 39.37 Mn |
| Mar 31, 2022 | 38.62 Mn |
| Dec 31, 2021 | 41.51 Mn |
| Sep 30, 2021 | 63.43 Mn |
Sarepta Therapeutics Operating Leases 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=operating-leases&ticker=SRPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=SRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();