BioNTech SE (BNTX) Change in Accrued Expenses (2018 - 2020)
BioNTech SE's Change in Accrued Expenses came in at -$19.61 million for Q1 2020, compared with -$22.92 million a year earlier.
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Analysis
BioNTech SE (BNTX) Change in Accrued Expenses (2018 - 2020) Analysis & Trends
Over the trailing twelve months to Mar 31, 2020, BioNTech SE reported Change in Accrued Expenses of -$79.88 million; for FY2019, it was -$90.24 million.
- Going back by year, Change in Accrued Expenses was -$24.9 million in FY2018 and -$5.17 million in FY2017.
- The Q1 2020 figure represents the highest quarterly Change in Accrued Expenses since Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 983.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -87.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 756.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | BioNTech SE | 22.05 Bn | -37.46 Bn | 1.36 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | -19.61 Mn |
| Dec 31, 2019 | -22.77 Mn |
| Mar 31, 2019 | -22.92 Mn |
| Dec 31, 2018 | -14.57 Mn |
API Access
BioNTech SE Change in Accrued Expenses 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=change-in-accured-expenses&ticker=BNTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=BNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();