BioNTech SE (BNTX) EV to EBITDA (2021 - 2023)
BioNTech SE's EV to EBITDA was 7.26 in Q4 2023, up 365.1% from 1.56 a year earlier and up 152.4% from the prior quarter.
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Analysis
BioNTech SE (BNTX) EV to EBITDA (2021 - 2023) Analysis & Trends
For FY2023, EV to EBITDA at BioNTech SE came in at 17.04, up 980.7% from FY2022.
- In earlier years, EV to EBITDA was 1.58 in FY2022 (-39.4%) and 2.60 in FY2021.
- The Q4 2023 figure marks the highest quarterly EV to EBITDA since Q1 2021.
- Compared with a year earlier, EV to EBITDA has increased for four straight quarters, with growth averaging 28.1% over the last eight quarters.
- The best year-over-year quarter for EV to EBITDA over five years was Q4 2023 (growth of 365.1%); the worst was Q1 2022 (a decline of 86.4%).
- Per Business Quant data, BNTX's EV to EBITDA in the three quarters before Q4 2023 was 2.88 (Q3 2023), 1.52 (Q2 2023) and 1.81 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn |
| 10 | BioNTech SE | 21.19 Bn | -49.68 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 7.26 |
| Sep 30, 2023 | 2.88 |
| Jun 30, 2023 | 1.52 |
| Mar 31, 2023 | 1.81 |
| Dec 31, 2022 | 1.56 |
| Sep 30, 2022 | 1.28 |
| Jun 30, 2022 | 1.44 |
| Mar 31, 2022 | 1.64 |
| Dec 31, 2021 | 2.61 |
| Sep 30, 2021 | 4.91 |
| Jun 30, 2021 | 7.17 |
| Mar 31, 2021 | 12.09 |
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();