Sarepta Therapeutics (SRPT) Return on Sales [ROS] (2009 - 2026)
Sarepta Therapeutics' Return on Sales [ROS] was 3.31% in Q2 2026, down 15.60 percentage points from 18.91% a year earlier and down 45.73 percentage points from the prior quarter.
Sarepta Therapeutics (SRPT) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sarepta Therapeutics' Return on Sales [ROS] was -7.26% through Jun 30, 2026, down 7.22 percentage points year-over-year; for FY2025, it was -31.83%, down 43.30 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +72.62 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 11.47% in FY2024 (+33.01 pp), -21.54% in FY2023 (+35.93 pp), -57.47% in FY2022 (+8.03 pp) and -65.50% in FY2021 (+38.96 pp).
- Quarterly Return on Sales [ROS] has moved between -92.92% (Q4 2025) and 49.05% (Q1 2026) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of -9.33 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2026 (a gain of 89.37 percentage points); the worst was Q4 2025 (a drop of 117.48 percentage points).
- Per Business Quant data, SRPT's Return on Sales [ROS] in the three quarters before Q2 2026 was 49.05% (Q1 2026), -92.92% (Q4 2025) and -25.89% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Sarepta Therapeutics | 1.76 Bn | -1.50 Bn | 192.84 Mn | -2.37% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -2.37% |
| Jun 30, 2026 | 3.31% |
| Mar 31, 2026 | 49.05% |
| Dec 31, 2025 | -92.92% |
| Sep 30, 2025 | -25.89% |
| Jun 30, 2025 | 18.91% |
| Mar 31, 2025 | -40.33% |
| Dec 31, 2024 | 24.56% |
| Sep 30, 2024 | 4.75% |
| Jun 30, 2024 | -0.19% |
| Mar 31, 2024 | 8.44% |
| Dec 31, 2023 | 6.21% |
| Sep 30, 2023 | -6.28% |
| Jun 30, 2023 | -51.11% |
| Mar 31, 2023 | -54.47% |
| Dec 31, 2022 | -41.34% |
| Sep 30, 2022 | -57.04% |
| Jun 30, 2022 | -90.43% |
| Mar 31, 2022 | -41.21% |
| Dec 31, 2021 | -52.52% |
Sarepta Therapeutics Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SRPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();