NovaBridge Biosciences (NBP) EBT Margin (2019 - 2023)
NovaBridge Biosciences (NBP) recorded EBT Margin of -738200.00% in Q4 2023, down 735590.16 percentage points from the prior quarter.
Analysis
NovaBridge Biosciences (NBP) EBT Margin (2019 - 2023) Analysis & Trends
For FY2023, NovaBridge Biosciences reported EBT Margin of -13009.02%, down 3911.66 percentage points from FY2022.
- Annual EBT Margin has declined for three straight years, with a five-year change of -12263.20 percentage points (FY2018 to FY2023).
- Across earlier years, EBT Margin came in at -9097.36% in FY2022 (-6445.04 pp), -2652.32% in FY2021 (-2683.64 pp), 31.32% in FY2020 (+4871.42 pp) and -4840.10% in FY2019 (-4094.28 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 26.66% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 25.18% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -4.11% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 29.63% |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 18.19% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 27.53% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -131.41% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -4.34% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 41.75% |
| 10 | NovaBridge Biosciences | 149.78 Mn | 149.78 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -738,200.00% |
| Sep 30, 2023 | -2,609.84% |
| Jun 30, 2023 | -17,332.08% |
| Dec 31, 2020 | 68.75% |
| Sep 30, 2019 | -1,640.29% |
API Access
NovaBridge Biosciences EBT Margin 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=ebt-margin&ticker=NBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt-margin", "ticker": "NBP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebt-margin&ticker=NBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();