NovaBridge Biosciences (NBP) EBIT Margin (2019 - 2023)
NovaBridge Biosciences (NBP) reported EBIT Margin of -789260.00% for Q4 2023, down 785884.13 percentage points from the prior quarter.
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Analysis
NovaBridge Biosciences (NBP) EBIT Margin (2019 - 2023) Analysis & Trends
For FY2023, NovaBridge Biosciences posted EBIT Margin of -31313.96%, down 12401.77 percentage points from FY2022.
- EBIT Margin has declined for three consecutive years, with a five-year change of -30498.35 percentage points (FY2018 to FY2023).
- By year, EBIT Margin came in at -18912.18% in FY2022 (-16587.40 pp), -2324.79% in FY2021 (-2319.51 pp), -5.27% in FY2020 (+4878.23 pp) and -4883.50% in FY2019 (-4067.90 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 28.21% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 37.86% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -3.52% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 32.97% |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 20.57% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 34.95% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -133.21% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 28.37% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 37.40% |
| 10 | NovaBridge Biosciences | 149.78 Mn | 149.78 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -789,260.00% |
| Sep 30, 2023 | -3,375.87% |
| Jun 30, 2023 | -7,578.62% |
| Dec 31, 2020 | 60.24% |
| Sep 30, 2019 | -2,042.94% |
API Access
NovaBridge Biosciences EBIT 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=ebit-margin&ticker=NBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-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=ebit-margin&ticker=NBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();