Voyager Therapeutics (VYGR) EV to CFO (2015 - 2024)
Voyager Therapeutics' (VYGR) EV to CFO stood at 8.09 in Q1 2024, up 906.6% from 0.80 a year earlier and up 347.6% from the prior quarter.
Voyager Therapeutics (VYGR) EV to CFO (2015 - 2024) Analysis & Trends
On a TTM basis, Voyager Therapeutics' EV to CFO came in at -49.57 as of Mar 31, 2024; for FY2023, it was 1.81.
- Across earlier years, EV to CFO came in at 4.78 in FY2019.
- The Q1 2024 figure is the highest quarterly EV to CFO since Q3 2022.
- On a year-over-year basis, EV to CFO rose in 1 of the last four quarters, with growth averaging 159.7%.
- Per Business Quant, the preceding three quarters came in at 1.81 (Q4 2023), 0.98 (Q3 2023) and 2.42 (Q2 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 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 |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Voyager Therapeutics | 122.00 Mn | -541.19 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 8.09 |
| Dec 31, 2023 | 1.81 |
| Sep 30, 2023 | 0.98 |
| Jun 30, 2023 | 2.42 |
| Mar 31, 2023 | 0.80 |
| Sep 30, 2022 | 8.82 |
| Jun 30, 2022 | 12.31 |
| Mar 31, 2022 | 56.75 |
| Dec 31, 2019 | 4.78 |
| Sep 30, 2019 | 6.85 |
| Jun 30, 2019 | 13.00 |
| Mar 31, 2019 | 5.63 |
| Mar 31, 2018 | 245.17 |
| Dec 31, 2015 | -2.48 |
Voyager Therapeutics EV to CFO 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=ev-to-cfo&ticker=VYGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=VYGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();