Sarepta Therapeutics (SRPT) Receivables (2010 - 2026)
Sarepta Therapeutics (SRPT) posted Receivables of $421.82 million for Q2 2026, down 29.8% from $600.6 million a year earlier and down 20.6% from the prior quarter.
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Analysis
Sarepta Therapeutics (SRPT) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Sarepta Therapeutics' Receivables came in at $502.33 million, down 21.1% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 30.0% (FY2020 to FY2025).
- In prior years, Sarepta Therapeutics' Receivables was $636.59 million in FY2024 (+48.0%), $430.13 million in FY2023 (+67.7%), $256.43 million in FY2022 (+49.4%) and $171.59 million in FY2021 (+26.6%).
- The Q2 2026 figure stands as the lowest quarterly Receivables since Q2 2024.
- On a year-over-year basis, Receivables has declined in each of the last three quarters, with growth averaging 18.8% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q1 2025, with growth of 74.8%; the weakest was Q2 2026, with a decline of 29.8%.
- According to Business Quant data, Receivables for the three prior quarters was $531.22 million (Q1 2026), $502.33 million (Q4 2025) and $524.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.13 Bn |
| 10 | Sarepta Therapeutics | 1.99 Bn | -1.25 Bn | 251.87 Mn | 421.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 421.82 Mn |
| Mar 31, 2026 | 531.22 Mn |
| Dec 31, 2025 | 502.33 Mn |
| Sep 30, 2025 | 524.44 Mn |
| Jun 30, 2025 | 600.60 Mn |
| Mar 31, 2025 | 714.57 Mn |
| Dec 31, 2024 | 636.59 Mn |
| Sep 30, 2024 | 500.92 Mn |
| Jun 30, 2024 | 379.90 Mn |
| Mar 31, 2024 | 408.91 Mn |
| Dec 31, 2023 | 430.13 Mn |
| Sep 30, 2023 | 354.26 Mn |
| Jun 30, 2023 | 265.41 Mn |
| Mar 31, 2023 | 285.84 Mn |
| Dec 31, 2022 | 256.43 Mn |
| Sep 30, 2022 | 223.41 Mn |
| Jun 30, 2022 | 230.25 Mn |
| Mar 31, 2022 | 195.89 Mn |
| Dec 31, 2021 | 171.59 Mn |
| Sep 30, 2021 | 178.89 Mn |
API Access
Sarepta Therapeutics Receivables 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=receivables&ticker=SRPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();