Voyager Therapeutics (VYGR) Accumulated Expenses (2014 - 2026)
Voyager Therapeutics (VYGR) reported Accumulated Expenses of $7.95 million for Q2 2026, down 33.9% from $12.03 million a year earlier but up 14.0% from the prior quarter.
Voyager Therapeutics (VYGR) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Voyager Therapeutics posted Accumulated Expenses of $12.1 million, down 14.6% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $14.17 million in FY2024 (-15.8%), $16.82 million in FY2023 (+115.2%), $7.82 million in FY2022 (-28.6%) and $10.95 million in FY2021 (-22.9%).
- Five-year quarterly Accumulated Expenses spans a low of $6.97 million in Q1 2026 and a high of $16.82 million in Q4 2023.
- Year over year, Accumulated Expenses has now declined in each of the last three quarters, with an average decline of 2.1% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2023 (growth of 115.2%); the low point was Q3 2021 (a decline of 47.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.97 million (Q1 2026), $12.1 million (Q4 2025) and $14.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Voyager Therapeutics | 113.78 Mn | -447.29 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.49 Mn |
| Jun 30, 2026 | 7.95 Mn |
| Mar 31, 2026 | 6.97 Mn |
| Dec 31, 2025 | 12.10 Mn |
| Sep 30, 2025 | 14.95 Mn |
| Jun 30, 2025 | 12.03 Mn |
| Mar 31, 2025 | 9.05 Mn |
| Dec 31, 2024 | 14.17 Mn |
| Sep 30, 2024 | 11.44 Mn |
| Jun 30, 2024 | 10.27 Mn |
| Mar 31, 2024 | 7.60 Mn |
| Dec 31, 2023 | 16.82 Mn |
| Sep 30, 2023 | 11.05 Mn |
| Jun 30, 2023 | 9.06 Mn |
| Mar 31, 2023 | 7.64 Mn |
| Dec 31, 2022 | 7.82 Mn |
| Sep 30, 2022 | 12.53 Mn |
| Jun 30, 2022 | 7.19 Mn |
| Mar 31, 2022 | 7.74 Mn |
| Dec 31, 2021 | 10.95 Mn |
Voyager Therapeutics Accumulated 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=accumulated-expenses&ticker=VYGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=VYGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();