BioNTech SE (BNTX) Cash & Equivalents (2018 - 2026)
BioNTech SE (BNTX) posted Cash & Equivalents of $11.32 billion for Q2 2026, down 2.6% from $11.62 billion a year earlier and down 2.7% from the prior quarter.
BioNTech SE (BNTX) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, BioNTech SE's Cash & Equivalents came in at $8.93 billion, down 14.4% from FY2024.
- Annual Cash & Equivalents has declined for three consecutive years, though with a five-year compound annual growth rate of 45.3% (FY2020 to FY2025).
- In prior years, BioNTech SE's Cash & Equivalents was $10.43 billion in FY2024 (-16.9%), $12.55 billion in FY2023 (-11.3%), $14.16 billion in FY2022 (+631.0%) and $1.94 billion in FY2021 (+40.1%).
- Quarterly Cash & Equivalents has run from a low of $1.94 billion in Q4 2021 to a high of $15.43 billion in Q2 2023 over five years.
- On a year-over-year basis, Cash & Equivalents increased in four of the last eight quarters, with an average decline of 3.5%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2022, with growth of 804.8%; the weakest was Q3 2024, with a decline of 28.1%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $11.64 billion (Q1 2026), $8.93 billion (Q4 2025) and $11.8 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 6.14 Bn |
| 10 | BioNTech SE | 24.86 Bn | -34.51 Bn | 10.00 Mn | 11.32 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.32 Bn |
| Mar 31, 2026 | 11.64 Bn |
| Dec 31, 2025 | 8.93 Bn |
| Sep 30, 2025 | 11.80 Bn |
| Jun 30, 2025 | 11.62 Bn |
| Mar 31, 2025 | 10.71 Bn |
| Dec 31, 2024 | 10.43 Bn |
| Sep 30, 2024 | 10.57 Bn |
| Jun 30, 2024 | 11.17 Bn |
| Mar 31, 2024 | 9.75 Bn |
| Dec 31, 2023 | 12.55 Bn |
| Sep 30, 2023 | 14.69 Bn |
| Jun 30, 2023 | 15.43 Bn |
| Mar 31, 2023 | 13.03 Bn |
| Dec 31, 2022 | 14.16 Bn |
| Sep 30, 2022 | 13.53 Bn |
| Jun 30, 2022 | 9.96 Bn |
| Mar 31, 2022 | 6.92 Bn |
| Dec 31, 2021 | 1.94 Bn |
| Sep 30, 2021 | 2.82 Bn |
BioNTech SE Cash & Equivalents 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=cash-and-equivalents&ticker=BNTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();