Voyager Therapeutics (VYGR) Change in Receivables (2019 - 2026)
Voyager Therapeutics' Change in Receivables was $1.44 million in Q2 2026, compared with $51,000 a year earlier.
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Analysis
Voyager Therapeutics (VYGR) Change in Receivables (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Voyager Therapeutics' Change in Receivables was $1.26 million through Jun 30, 2026; for FY2025, it came in at $257,000.
- In earlier years, Change in Receivables was -$78.65 million in FY2024 and $80.15 million in FY2023.
- Quarterly Change in Receivables has moved between -$79.31 million (Q1 2024) and $25 million (Q1 2023) over five years.
- Per Business Quant data, VYGR's Change in Receivables in the three quarters before Q2 2026 was -$267,000 (Q1 2026), -$1.43 million (Q4 2025) and $1.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 1.35 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 1.37 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | - |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 1.09 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 333.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Voyager Therapeutics | 122.00 Mn | -541.19 Mn | - | 1.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.44 Mn |
| Mar 31, 2026 | -267,000.00 |
| Dec 31, 2025 | -1.43 Mn |
| Sep 30, 2025 | 1.51 Mn |
| Jun 30, 2025 | 51,000.00 |
| Mar 31, 2025 | 119,000.00 |
| Dec 31, 2024 | -14.45 Mn |
| Sep 30, 2024 | 14.25 Mn |
| Jun 30, 2024 | 865,000.00 |
| Mar 31, 2024 | -79.31 Mn |
| Mar 31, 2023 | 25.00 Mn |
| Sep 30, 2019 | 479,000.00 |
API Access
Voyager Therapeutics Change in Receivables 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-receivables&ticker=VYGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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-receivables&ticker=VYGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();