BioNTech SE (BNTX) Convertible Debt (2023)
BioNTech SE's Convertible Debt came in at $68.11 million for Q2 2026, up 162.8% from $25.92 million a year earlier and up 144.5% from the prior quarter.
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Analysis
BioNTech SE (BNTX) Convertible Debt (2023) Analysis & Trends
At the end of FY2025, BioNTech SE's Convertible Debt was $41.32 million, up 85.0% from FY2024.
- Convertible Debt has increased in each of the last three years, with a five-year compound annual growth rate of 45.8% (FY2020 to FY2025).
- Going back by year, Convertible Debt was $22.33 million in FY2024 (+135.9%), $9.47 million in FY2023 (+7.9%), $8.77 million in FY2022 (-95.9%) and $211.52 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Convertible Debt since Q1 2022.
- Year-over-year, Convertible Debt has increased for seven consecutive quarters, with growth averaging 113.8% over the last eight quarters.
- The fastest year-over-year change in Convertible Debt over five years came in Q3 2021 (growth of 604.4%), and the weakest in Q1 2023 (a decline of 96.6%).
- Business Quant data shows BNTX's Convertible Debt at $27.86 million (Q1 2026), $41.32 million (Q4 2025) and $28.29 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 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 |
| 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 |
API Access
BioNTech SE Convertible Debt 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=convertible-debt&ticker=BNTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "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=convertible-debt&ticker=BNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();