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 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 22.97 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 25.40 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 16.99 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 16.61 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 14.41 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 15.38 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 10.05 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 7.80 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 15.03 Bn |
| 10 | NovaBridge Biosciences | 153.46 Mn | -642.12 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();