BioNTech SE (BNTX) EV to EBITDA (2020 - 2023)
BioNTech SE's EV to EBITDA was 18.31 in Q4 2023, compared with 1.63 a year earlier and up 332.8% from the prior quarter.
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Analysis
BioNTech SE (BNTX) EV to EBITDA (2020 - 2023) Analysis & Trends
For FY2023, EV to EBITDA at BioNTech SE came in at 18.17, up 977.2% from FY2022.
- In earlier years, EV to EBITDA was 1.69 in FY2022 (-52.0%) and 3.51 in FY2021.
- The Q4 2023 figure marks the highest quarterly EV to EBITDA since Q4 2020.
- Compared with a year earlier, EV to EBITDA was higher in three of the last seven quarters, with growth averaging 3.4%.
- The best year-over-year quarter for EV to EBITDA over five years was Q3 2023 (growth of 235.1%); the worst was Q4 2021 (a decline of 96.9%).
- Per Business Quant data, BNTX's EV to EBITDA in the three quarters before Q4 2023 was 4.23 (Q3 2023), 2.25 (Q2 2023) and 1.98 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | BioNTech SE | 25.06 Bn | -34.31 Bn | 10.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 18.31 |
| Sep 30, 2023 | 4.23 |
| Jun 30, 2023 | 2.25 |
| Mar 31, 2023 | 1.98 |
| Dec 31, 2022 | 1.63 |
| Sep 30, 2022 | 1.26 |
| Jun 30, 2022 | 1.43 |
| Mar 31, 2022 | 1.64 |
| Dec 31, 2021 | 3.40 |
| Sep 30, 2021 | 4.72 |
| Jun 30, 2021 | 7.02 |
| Mar 31, 2021 | 11.08 |
| Dec 31, 2020 | 109.43 |
API Access
BioNTech SE EV to EBITDA 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-ebitda&ticker=BNTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "BNTX", "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-ebitda&ticker=BNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();