Voyager Therapeutics (VYGR) Total Current Liabilities (2014 - 2026)
Voyager Therapeutics' Total Current Liabilities came in at $16.69 million for Q2 2026, down 60.3% from $41.98 million a year earlier and down 4.4% from the prior quarter.
Voyager Therapeutics (VYGR) Total Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Voyager Therapeutics' Total Current Liabilities was $26.54 million, down 46.7% from FY2024.
- Total Current Liabilities has declined in each of the last three years, with a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $49.79 million in FY2024 (-22.8%), $64.51 million in FY2023 (-11.1%), $72.59 million in FY2022 (+42.4%) and $50.98 million in FY2021 (+90.5%).
- The Q2 2026 figure represents the lowest quarterly Total Current Liabilities since Q4 2017.
- Year-over-year, Total Current Liabilities has declined for four consecutive quarters, with an average decline of 34.3% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q1 2022 (growth of 310.8%), and the weakest in Q1 2023 (a decline of 80.4%).
- Business Quant data shows VYGR's Total Current Liabilities at $17.45 million (Q1 2026), $26.54 million (Q4 2025) and $35.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Voyager Therapeutics | 161.76 Mn | -501.43 Mn | - | 16.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.69 Mn |
| Mar 31, 2026 | 17.45 Mn |
| Dec 31, 2025 | 26.54 Mn |
| Sep 30, 2025 | 35.50 Mn |
| Jun 30, 2025 | 41.98 Mn |
| Mar 31, 2025 | 40.21 Mn |
| Dec 31, 2024 | 49.79 Mn |
| Sep 30, 2024 | 44.21 Mn |
| Jun 30, 2024 | 40.13 Mn |
| Mar 31, 2024 | 72.55 Mn |
| Dec 31, 2023 | 64.51 Mn |
| Sep 30, 2023 | 61.69 Mn |
| Jun 30, 2023 | 45.40 Mn |
| Mar 31, 2023 | 19.94 Mn |
| Dec 31, 2022 | 72.59 Mn |
| Sep 30, 2022 | 73.24 Mn |
| Jun 30, 2022 | 97.93 Mn |
| Mar 31, 2022 | 101.68 Mn |
| Dec 31, 2021 | 50.98 Mn |
| Sep 30, 2021 | 26.70 Mn |
Voyager Therapeutics Total Current Liabilities 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=total-current-liabilities&ticker=VYGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=VYGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();