Voyager Therapeutics (VYGR) Return on Sales [ROS] (2014 - 2026)
Voyager Therapeutics (VYGR) recorded Return on Sales [ROS] of -824.75% in Q2 2026, down 120.42 percentage points from -704.33% a year earlier but up 339.48 percentage points from the prior quarter.
Voyager Therapeutics (VYGR) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
On a TTM basis, Voyager Therapeutics' Return on Sales [ROS] came in at -339.32% as of Jun 30, 2026, down 49.70 percentage points year-over-year; for FY2025, it came in at -326.56%, down 222.45 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -342.56 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -104.11% in FY2024 (-152.91 pp), 48.80% in FY2023 (+173.08 pp), -124.27% in FY2022 (+72.49 pp) and -196.76% in FY2021 (-212.76 pp).
- Quarterly Return on Sales [ROS] has ranged from -3244.68% in Q1 2022 to 81.66% in Q1 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in two of the last eight quarters, with an average year-over-year change of -212.41 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 3326.34 percentage points in Q1 2023, against a drop of 2851.06 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -1164.23% (Q1 2026), -195.17% (Q4 2025) and -228.31% (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 | Voyager Therapeutics | 113.78 Mn | -447.29 Mn | - | -658.25% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -658.25% |
| Jun 30, 2026 | -824.75% |
| Mar 31, 2026 | -1,164.23% |
| Dec 31, 2025 | -195.17% |
| Sep 30, 2025 | -228.31% |
| Jun 30, 2025 | -704.33% |
| Mar 31, 2025 | -533.74% |
| Dec 31, 2024 | -610.05% |
| Sep 30, 2024 | -55.95% |
| Jun 30, 2024 | -50.76% |
| Mar 31, 2024 | -82.92% |
| Dec 31, 2023 | 60.03% |
| Sep 30, 2023 | -639.51% |
| Jun 30, 2023 | -518.90% |
| Mar 31, 2023 | 81.66% |
| Dec 31, 2022 | -124.28% |
| Sep 30, 2022 | 35.15% |
| Jun 30, 2022 | -2,720.08% |
| Mar 31, 2022 | -3,244.68% |
| Dec 31, 2021 | 20.31% |
Voyager 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=VYGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VYGR", "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=VYGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();