Voyager Therapeutics (VYGR) Cash & Equivalents (2014 - 2026)
Voyager Therapeutics' Cash & Equivalents came in at $35.77 million for Q2 2026, down 18.6% from $43.94 million a year earlier and down 17.4% from the prior quarter.
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Analysis
Voyager Therapeutics (VYGR) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2025, Voyager Therapeutics' Cash & Equivalents was $65.3 million, down 8.5% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -9.0% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $71.37 million in FY2024 (+3.7%), $68.8 million in FY2023 (-30.5%), $98.96 million in FY2022 (-15.7%) and $117.43 million in FY2021 (+12.4%).
- The Q2 2026 figure represents the lowest quarterly Cash & Equivalents since Q4 2017.
- Year-over-year, Cash & Equivalents has declined for six consecutive quarters, with an average decline of 17.9% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2023 (growth of 211.9%), and the weakest in Q2 2024 (a decline of 68.8%).
- Business Quant data shows VYGR's Cash & Equivalents at $43.31 million (Q1 2026), $65.3 million (Q4 2025) and $45.13 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Voyager Therapeutics | 163.60 Mn | -499.59 Mn | - | 35.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.77 Mn |
| Mar 31, 2026 | 43.31 Mn |
| Dec 31, 2025 | 65.30 Mn |
| Sep 30, 2025 | 45.13 Mn |
| Jun 30, 2025 | 43.94 Mn |
| Mar 31, 2025 | 74.76 Mn |
| Dec 31, 2024 | 71.37 Mn |
| Sep 30, 2024 | 112.53 Mn |
| Jun 30, 2024 | 76.13 Mn |
| Mar 31, 2024 | 143.08 Mn |
| Dec 31, 2023 | 68.80 Mn |
| Sep 30, 2023 | 65.27 Mn |
| Jun 30, 2023 | 244.29 Mn |
| Mar 31, 2023 | 268.32 Mn |
| Dec 31, 2022 | 98.96 Mn |
| Sep 30, 2022 | 96.86 Mn |
| Jun 30, 2022 | 78.33 Mn |
| Mar 31, 2022 | 131.87 Mn |
| Dec 31, 2021 | 117.43 Mn |
| Sep 30, 2021 | 111.48 Mn |
API Access
Voyager Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=VYGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=VYGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();