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.
Powered by 
Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn |
| 10 | Sarepta Therapeutics | 1.79 Bn | -1.47 Bn | 192.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 195.66 Mn |
| 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 |
API Access
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_KEYimport 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();