BioNTech SE (BNTX) Total Current Liabilities (2018 - 2026)
BioNTech SE (BNTX) posted Total Current Liabilities of $273.04 million for Q2 2026, up 65.7% from $164.81 million a year earlier and up 39.7% from the prior quarter.
BioNTech SE (BNTX) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, BioNTech SE's Total Current Liabilities came in at $169.14 million, down 93.7% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -24.6% (FY2020 to FY2025).
- In prior years, BioNTech SE's Total Current Liabilities was $2.7 billion in FY2024 (+830.6%), $289.75 million in FY2023 (-22.7%), $374.63 million in FY2022 (+197.2%) and $126.07 million in FY2021 (-81.8%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities since Q4 2024.
- On a year-over-year basis, Total Current Liabilities increased in four of the last eight quarters, with growth averaging 101.0%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2024, with growth of 830.6%; the weakest was Q4 2025, with a decline of 93.7%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $195.51 million (Q1 2026), $169.14 million (Q4 2025) and $247.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.85 Bn | 1,106.43 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 618.85 Bn | 537.37 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 503.03 Bn | 476.14 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 368.52 Bn | 322.90 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 298.19 Bn | 262.18 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.33 Bn | 235.02 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 237.14 Bn | 192.53 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 191.35 Bn | 165.54 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 169.80 Bn | 116.45 Bn | 10.94 Bn | 32.65 Bn |
| 10 | BioNTech SE | 22.09 Bn | -24.39 Bn | 10.00 Mn | 268.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 268.30 Mn |
| Mar 31, 2026 | 191.38 Mn |
| Dec 31, 2025 | 2.52 Bn |
| Sep 30, 2025 | 248.12 Mn |
| Jun 30, 2025 | 170.75 Mn |
| Mar 31, 2025 | 131.94 Mn |
| Dec 31, 2024 | 2.63 Bn |
| Sep 30, 2024 | 817.07 Mn |
| Jun 30, 2024 | 389.68 Mn |
| Mar 31, 2024 | 266.62 Mn |
| Dec 31, 2023 | 2.29 Bn |
| Sep 30, 2023 | 335.89 Mn |
| Jun 30, 2023 | 407.33 Mn |
| Mar 31, 2023 | 349.38 Mn |
| Dec 31, 2022 | 3.15 Bn |
| Sep 30, 2022 | 3.89 Bn |
| Jun 30, 2022 | 4.10 Bn |
| Mar 31, 2022 | 4.30 Bn |
| Dec 31, 2021 | 3.94 Bn |
| Sep 30, 2021 | 5.69 Bn |
BioNTech SE Total Current Liabilities 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=total-current-liabilities&ticker=BNTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=BNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();