Voyager Therapeutics (VYGR) Operating Expenses (2014 - 2026)
Voyager Therapeutics (VYGR) recorded Operating Expenses of $29.56 million in Q2 2026, down 29.3% from $41.83 million a year earlier and down 10.1% from the prior quarter.
Voyager Therapeutics (VYGR) Operating Expenses (2014 - 2026) Analysis & Trends
On a TTM basis, Voyager Therapeutics' Operating Expenses came in at $151.65 million as of Jun 30, 2026, down 8.6% year-over-year; for FY2025, it came in at $172.22 million, up 5.5% from FY2024.
- Annual Operating Expenses has increased for three straight years, with a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $163.29 million in FY2024 (+27.6%), $127.99 million in FY2023 (+39.5%), $91.74 million in FY2022 (-17.4%) and $111.03 million in FY2021 (-22.8%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q1 2023.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 1.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 56.4% in Q4 2023, against a decline of 32.9% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $32.86 million (Q1 2026), $45.27 million (Q4 2025) and $43.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,132.34 Bn | 1,100.93 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 615.91 Bn | 534.44 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 505.47 Bn | 478.59 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 368.25 Bn | 322.63 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.18 Bn | 262.17 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 236.22 Bn | 191.62 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.68 Bn | 164.87 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.14 Bn | 116.79 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Voyager Therapeutics | 122.91 Mn | -540.28 Mn | - | 29.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.56 Mn |
| Mar 31, 2026 | 32.86 Mn |
| Dec 31, 2025 | 45.27 Mn |
| Sep 30, 2025 | 43.96 Mn |
| Jun 30, 2025 | 41.83 Mn |
| Mar 31, 2025 | 41.17 Mn |
| Dec 31, 2024 | 44.58 Mn |
| Sep 30, 2024 | 38.41 Mn |
| Jun 30, 2024 | 44.60 Mn |
| Mar 31, 2024 | 35.70 Mn |
| Dec 31, 2023 | 36.00 Mn |
| Sep 30, 2023 | 34.12 Mn |
| Jun 30, 2023 | 30.28 Mn |
| Mar 31, 2023 | 27.60 Mn |
| Dec 31, 2022 | 23.01 Mn |
| Sep 30, 2022 | 26.64 Mn |
| Jun 30, 2022 | 20.08 Mn |
| Mar 31, 2022 | 22.01 Mn |
| Dec 31, 2021 | 22.37 Mn |
| Sep 30, 2021 | 26.63 Mn |
Voyager Therapeutics Operating Expenses 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-expenses&ticker=VYGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VYGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();