NovaBridge Biosciences (NBP) Operating Margin (2019 - 2023)
NovaBridge Biosciences (NBP) posted Operating Margin of -789260.00% for Q4 2023, down 785884.13 percentage points from the prior quarter.
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Analysis
NovaBridge Biosciences (NBP) Operating Margin (2019 - 2023) Analysis & Trends
For FY2023, NovaBridge Biosciences' Operating Margin came in at -11395.09%, down 7972.92 percentage points from FY2022.
- Annual Operating Margin has declined for three consecutive years, with a five-year change of -10579.49 percentage points (FY2018 to FY2023).
- In prior years, NovaBridge Biosciences' Operating Margin was -3422.18% in FY2022 (-1097.39 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) | Operating 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 Operating 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=operating-margin&ticker=NBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=NBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();