Voyager Therapeutics (VYGR) Change in Accured Expenses (2014 - 2026)
Voyager Therapeutics (VYGR) reported Change in Accured Expenses of $979,000 for Q2 2026, down 67.1% from $2.97 million a year earlier.
Voyager Therapeutics (VYGR) Change in Accured Expenses (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Voyager Therapeutics' Change in Accured Expenses came in at -$4.5 million; for FY2025, it was -$2.5 million.
- By year, Change in Accured Expenses came in at -$2.65 million in FY2024, $9.01 million in FY2023, -$3.15 million in FY2022 and -$3.34 million in FY2021.
- Five-year quarterly Change in Accured Expenses spans a low of -$9.31 million in Q1 2024 and a high of $5.77 million in Q4 2023.
- Year over year, Change in Accured Expenses gained in two of the last five quarters, with an average decline of 1.9%.
- The high point for year-over-year Change in Accured Expenses in five years was Q3 2025 (growth of 142.2%); the low point was Q2 2026 (a decline of 67.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$5.13 million (Q1 2026), -$3.19 million (Q4 2025) and $2.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Voyager Therapeutics | 150.12 Mn | -513.07 Mn | - | 979,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 979,000.00 |
| Mar 31, 2026 | -5.13 Mn |
| Dec 31, 2025 | -3.19 Mn |
| Sep 30, 2025 | 2.83 Mn |
| Jun 30, 2025 | 2.97 Mn |
| Mar 31, 2025 | -5.12 Mn |
| Dec 31, 2024 | 2.73 Mn |
| Sep 30, 2024 | 1.17 Mn |
| Jun 30, 2024 | 2.76 Mn |
| Mar 31, 2024 | -9.31 Mn |
| Dec 31, 2023 | 5.77 Mn |
| Sep 30, 2023 | 1.94 Mn |
| Jun 30, 2023 | 1.42 Mn |
| Mar 31, 2023 | -122,000.00 |
| Dec 31, 2022 | -4.68 Mn |
| Sep 30, 2022 | 5.19 Mn |
| Jun 30, 2022 | -158,000.00 |
| Mar 31, 2022 | -3.49 Mn |
| Dec 31, 2021 | -423,000.00 |
| Sep 30, 2021 | 445,000.00 |
Voyager Therapeutics Change in Accured 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=change-in-accured-expenses&ticker=VYGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=VYGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();