BioNTech SE (BNTX) Prepaid Assets (2019 - 2022)
BioNTech SE (BNTX) recorded Prepaid Assets of $164.05 million in Q3 2022, up 27.3% from $128.9 million a year earlier and up 229.9% from the prior quarter.
Powered by 
Analysis
BioNTech SE (BNTX) Prepaid Assets (2019 - 2022) Analysis & Trends
At the end of FY2021, BioNTech SE reported Prepaid Assets of $74.24 million, up 6.6% from FY2020.
- Across earlier years, Prepaid Assets came in at $69.65 million in FY2020 (+585.7%) and $10.16 million in FY2019.
- The Q3 2022 figure is the highest quarterly Prepaid Assets in data going back to Q4 2019.
- On a year-over-year basis, Prepaid Assets rose in five of the last seven quarters, with growth averaging 191.2%.
- Per Business Quant, the preceding three quarters came in at $49.72 million (Q2 2022), $72.84 million (Q1 2022) and $74.24 million (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn |
| 10 | BioNTech SE | 21.69 Bn | -24.79 Bn | 10.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 159.93 Mn |
| Jun 30, 2022 | 48.68 Mn |
| Mar 31, 2022 | 72.44 Mn |
| Dec 31, 2021 | 73.50 Mn |
| Sep 30, 2021 | 126.81 Mn |
| Jun 30, 2021 | 134.61 Mn |
| Mar 31, 2021 | 81.60 Mn |
| Dec 31, 2020 | 75.03 Mn |
| Sep 30, 2020 | 63.58 Mn |
| Jun 30, 2020 | 18.37 Mn |
| Dec 31, 2019 | 10.16 Mn |
API Access
BioNTech SE Prepaid Assets 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=prepaid-assets&ticker=BNTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=BNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();