BioNTech SE (BNTX) Operating Leases (2018 - 2025)
BioNTech SE's Operating Leases came in at $268.08 million for Q4 2025, up 255.8% from $75.34 million a year earlier and up 10.8% from the prior quarter.
Powered by 
Analysis
BioNTech SE (BNTX) Operating Leases (2018 - 2025) Analysis & Trends
Going back to Q4 2018, BioNTech SE's Operating Leases data covers 10 quarters.
- Going back by year, Operating Leases was $75.34 million in FY2024 (+22.4%) and $61.54 million in FY2023.
- The Q4 2025 figure represents the highest quarterly Operating Leases in data going back to Q4 2018.
- Business Quant data shows BNTX's Operating Leases at $241.99 million (Q3 2025), $260.46 million (Q2 2025) and $259.61 million (Q1 2025) in the three quarters before Q4 2025.
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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 270.54 Mn |
| Sep 30, 2025 | 242.84 Mn |
| Jun 30, 2025 | 269.85 Mn |
| Mar 31, 2025 | 267.13 Mn |
| Dec 31, 2024 | 73.36 Mn |
| Dec 31, 2023 | 270.51 Mn |
| Jun 30, 2020 | 64.95 Mn |
| Dec 31, 2019 | 64.54 Mn |
| Sep 30, 2019 | 63.11 Mn |
| Dec 31, 2018 | 58.06 Mn |
API Access
BioNTech SE Operating Leases 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=operating-leases&ticker=BNTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=BNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();