Voyager Therapeutics (VYGR) Total Non-Current Liabilities (2014 - 2024)
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.
Voyager Therapeutics (VYGR) Total Non-Current Liabilities (2014 - 2024) 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Voyager Therapeutics | 161.76 Mn | -501.43 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 56.34 Mn |
| Jun 30, 2021 | 56.34 Mn |
| Mar 31, 2021 | 58.37 Mn |
| Dec 31, 2020 | 62.85 Mn |
| Sep 30, 2020 | 74.26 Mn |
| Jun 30, 2020 | 190.39 Mn |
| Mar 31, 2020 | 211.76 Mn |
| Dec 31, 2019 | 223.27 Mn |
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_KEY
import 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();