Voyager Therapeutics (VYGR) Total Non-Current Liabilities (2014 - 2026)
Voyager Therapeutics (VYGR) recorded Total Non-Current Liabilities of $56.36 million in Q3 2024, down 43.4% from $99.51 million a year earlier and down 5.4% from the prior quarter.
Powered by 
Analysis
Voyager Therapeutics (VYGR) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2023, Voyager Therapeutics reported Total Non-Current Liabilities of $96.87 million, up 22.6% from FY2022.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -4.8% (FY2018 to FY2023).
- Across earlier years, Total Non-Current Liabilities came in at $79.04 million in FY2022 (+33.5%), $59.19 million in FY2021 (-5.8%), $62.85 million in FY2020 (-71.8%) and $223.27 million in FY2019 (+80.2%).
- The Q3 2024 figure is the lowest quarterly Total Non-Current Liabilities since Q3 2021.
- On a year-over-year basis, Total Non-Current Liabilities has declined for three consecutive quarters, with an average decline of 4.3% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 88.7% in Q1 2022, against a decline of 72.4% in Q1 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $59.6 million (Q2 2024), $85.71 million (Q1 2024) and $96.87 million (Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Voyager Therapeutics | 113.78 Mn | -447.29 Mn | - | 40.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 40.94 Mn |
| Jun 30, 2026 | 42.38 Mn |
| Mar 31, 2026 | 44.66 Mn |
| Dec 31, 2025 | 55.20 Mn |
| Sep 30, 2025 | 67.49 Mn |
| Jun 30, 2025 | 77.16 Mn |
| Mar 31, 2025 | 79.54 Mn |
| Dec 31, 2024 | 92.29 Mn |
| Sep 30, 2024 | 56.36 Mn |
| Jun 30, 2024 | 59.60 Mn |
| Mar 31, 2024 | 85.71 Mn |
| Dec 31, 2023 | 96.87 Mn |
| Sep 30, 2023 | 99.51 Mn |
| Jun 30, 2023 | 96.78 Mn |
| Mar 31, 2023 | 98.81 Mn |
| Dec 31, 2022 | 79.04 Mn |
| Sep 30, 2022 | 80.63 Mn |
| Jun 30, 2022 | 105.81 Mn |
| Mar 31, 2022 | 110.13 Mn |
| Dec 31, 2021 | 59.19 Mn |
API Access
Voyager Therapeutics Total Non-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-non-current-liabilities&ticker=VYGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=VYGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();