NovaBridge Biosciences (NBP) Revenue (2019 - 2023)
NovaBridge Biosciences (NBP) reported Revenue of $5,000 for Q4 2023, down 98.4% from the prior quarter.
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Analysis
NovaBridge Biosciences (NBP) Revenue (2019 - 2023) Analysis & Trends
For FY2023, NovaBridge Biosciences posted Revenue of $632,000, down 59.3% from FY2022.
- Revenue has declined for three consecutive years, with a five-year compound annual growth rate of -40.0% (FY2018 to FY2023).
- By year, Revenue came in at $1.55 million in FY2022 (-88.8%), $13.81 million in FY2021 (-94.2%), $236.42 million in FY2020 and $4.31 million in FY2019 (-47.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 3.33 Bn |
| 10 | NovaBridge Biosciences | 150.88 Mn | 150.88 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 5,000.00 |
| Sep 30, 2023 | 315,000.00 |
| Jun 30, 2023 | 159,000.00 |
| Dec 31, 2020 | 231.27 Mn |
| Sep 30, 2019 | 2.14 Mn |
API Access
NovaBridge Biosciences Revenue 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=revenue&ticker=NBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=NBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();