Voyager Therapeutics (VYGR) Selling, General & Administrative (2014 - 2026)
Voyager Therapeutics (VYGR) recorded Selling, General & Administrative of $7.52 million in Q2 2026, down 28.4% from $10.5 million a year earlier and down 9.0% from the prior quarter.
Voyager Therapeutics (VYGR) Selling, General & Administrative (2014 - 2026) Analysis & Trends
On a TTM basis, Voyager Therapeutics' Selling, General & Administrative came in at $33.19 million as of Jun 30, 2026, down 11.0% year-over-year; for FY2025, it was $37.54 million, up 4.5% from FY2024.
- Annual Selling, General & Administrative has increased for three straight years, with a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $35.92 million in FY2024 (+0.3%), $35.82 million in FY2023 (+15.6%), $30.98 million in FY2022 (-16.8%) and $37.25 million in FY2021 (+6.4%).
- The Q2 2026 figure is the lowest quarterly Selling, General & Administrative since Q3 2022.
- On a year-over-year basis, Selling, General & Administrative rose in three of the last eight quarters, with an average decline of 4.7%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 22.4% in Q2 2024, against a decline of 28.4% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.26 million (Q1 2026), $9.32 million (Q4 2025) and $8.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Voyager Therapeutics | 163.60 Mn | -499.59 Mn | - | 7.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.52 Mn |
| Mar 31, 2026 | 8.26 Mn |
| Dec 31, 2025 | 9.32 Mn |
| Sep 30, 2025 | 8.09 Mn |
| Jun 30, 2025 | 10.50 Mn |
| Mar 31, 2025 | 9.64 Mn |
| Dec 31, 2024 | 8.99 Mn |
| Sep 30, 2024 | 8.17 Mn |
| Jun 30, 2024 | 10.15 Mn |
| Mar 31, 2024 | 8.61 Mn |
| Dec 31, 2023 | 10.24 Mn |
| Sep 30, 2023 | 8.26 Mn |
| Jun 30, 2023 | 8.29 Mn |
| Mar 31, 2023 | 9.03 Mn |
| Dec 31, 2022 | 8.46 Mn |
| Sep 30, 2022 | 7.31 Mn |
| Jun 30, 2022 | 7.55 Mn |
| Mar 31, 2022 | 7.66 Mn |
| Dec 31, 2021 | 8.35 Mn |
| Sep 30, 2021 | 8.71 Mn |
Voyager Therapeutics Selling, General & Administrative 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=selling-general-and-administrative&ticker=VYGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=VYGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();