BioNTech SE (BNTX) EV to FCF (2020 - 2026)
BioNTech SE's (BNTX) EV to FCF was 9.52 for Q2 2026, up 35.0% from the prior quarter.
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Analysis
BioNTech SE (BNTX) EV to FCF (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, BioNTech SE's EV to FCF came in at -34.53; for FY2025, it was 37.21.
- By year, EV to FCF came in at 3.10 in FY2023 (+100.2%), 1.55 in FY2022 (-97.1%) and 52.99 in FY2021 (-82.0%).
- Five-year quarterly EV to FCF spans a low of 1.34 in Q2 2023 and a high of 507.29 in Q1 2025.
- Year over year, EV to FCF gained in two of the last four quarters, with growth averaging 205.8%.
- The high point for year-over-year EV to FCF in five years was Q3 2024 (growth of 483.4%); the low point was Q1 2026 (a decline of 98.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | BioNTech SE | 24.86 Bn | -34.51 Bn | 10.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.52 |
| Mar 31, 2026 | 7.05 |
| Dec 31, 2025 | 14.92 |
| Mar 31, 2025 | 507.29 |
| Dec 31, 2024 | 15.06 |
| Sep 30, 2024 | 14.86 |
| Jun 30, 2024 | 4.51 |
| Mar 31, 2024 | 2.69 |
| Dec 31, 2023 | 2.79 |
| Sep 30, 2023 | 2.55 |
| Jun 30, 2023 | 1.34 |
| Mar 31, 2023 | 1.87 |
| Dec 31, 2022 | 1.50 |
| Sep 30, 2022 | 1.45 |
| Jun 30, 2022 | 2.54 |
| Mar 31, 2022 | 5.67 |
| Dec 31, 2021 | 49.30 |
| Sep 30, 2021 | 34.87 |
| Dec 31, 2020 | 550.87 |
API Access
BioNTech SE EV to FCF 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-fcf&ticker=BNTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=BNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();