BioNTech SE (BNTX) Long-Term Debt Issuances (2018 - 2026)
BioNTech SE's Long-Term Debt Issuances was $43.94 million in Q2 2026, down 2.3% from the prior quarter.
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Analysis
BioNTech SE (BNTX) Long-Term Debt Issuances (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, BioNTech SE's Long-Term Debt Issuances was $89.22 million through Jun 30, 2026; for FY2025, it was $7.8 million.
- Long-Term Debt Issuances shows a five-year compound annual growth rate of -46.5% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Issuances was $322,782 in FY2023 (-60.5%) and $816,198 in FY2022.
- The Q2 2026 figure marks the lowest quarterly Long-Term Debt Issuances since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 8.94 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 | 1.98 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 | BioNTech SE | 22.08 Bn | -24.40 Bn | 10.00 Mn | 43.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.94 Mn |
| Mar 31, 2026 | 44.96 Mn |
| Dec 31, 2023 | 215,187.98 |
| Sep 30, 2023 | 108,859.05 |
| Dec 31, 2022 | 204,049.47 |
| Sep 30, 2022 | 403,309.73 |
| Jun 30, 2022 | 213,411.34 |
| Dec 31, 2020 | 63.91 Mn |
| Mar 31, 2020 | 3.20 Mn |
| Dec 31, 2019 | 3.25 Mn |
| Mar 31, 2019 | 1.78 Mn |
| Dec 31, 2018 | 3.54 Mn |
API Access
BioNTech SE Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=BNTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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=long-term-debt-issuances&ticker=BNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();